data scientist

Apple

<p>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses.<br>
<br>
We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.<br>
<br>
<b>Description</b><br>
<br>
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will:<br>
<br>
Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.<br>
<br>
Evaluate which tasks and data types benefit most from automation and work with customers to optimize against.<br>
<br>
Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch.<br>
<br>
Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure.<br>
<br>
Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios.<br>
<br>
Identify key factors that lead to improving productivity and quality.<br>
<br>
Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.<br>
<br>
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations<br>
<br>
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization<br>
<br>
Passion for AIML and Operations, with a consistent track record of operational results.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.<br>
<br>
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals<br>
<br>
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization<br>
<br>
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages<br>
<br>
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Scientist, AIML Data Scientist

NYC Housing Authority

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Scientist
</b></h1></div><div><div><div><div><ul><li>NYC HOUSING AUTHORITY
</li></ul></div></div><div><div>Posted On: 03/11/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$87,743.00 &ndash; $110,120.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>The New York City Housing Authority (NYCHA) is the nation&rsquo;s largest public housing authority, with an operating budget of $3.3 billion and over 11,000 employees who manage and maintain 325 developments that house about 400,000 residents. NYCHA also operates the country&rsquo;s largest Section 8 program, which provides rental assistance to about 200,000 additional people.<br>
<br>
Overview<br>
EHS is responsible for &ldquo;analyzing, overseeing, and improving environmental health and safety at NYCHA, which shall include but not be limited to issues relating to lead-based paint, mold, heating, pests, elevators, air quality, and other aspects of NYCHA&rsquo;s physical environment that affect residents&rsquo; health or safety&rdquo;, &ldquo;reporting to NYCHA&rsquo;s senior management and Board on environmental health and safety issues&rdquo; and &ldquo;making recommendations to NYCHA&rsquo;s senior management and Board for improvement and correction of any environmental health and safety issues at NYCHA&rdquo;. EHS fulfills this obligation through the extensive data and report management work conducted by the Analysis and Engagement Unit (AEU).
<br>
<br>
About the Position<br>
As a key driver of data-driven decision-making, the Data Scientist will play a pivotal role in shaping analytical strategies and insights for the Analysis and Reporting Team. Reporting directly to the Administrator, the Data Scientist will work across all teams to provide support on various data technical projects, data analytics; data quality activities; including building insightful PowerBI dashboards that assist in data driven analysis. The ideal candidate will be a self-starter who can work independently and is comfortable working in a fast-paced, deadline-sensitive environment. This position requires a highly analytical and results-oriented professional who is an effective project manager, a strategic leader, and a skilled communicator with a strong problem-solving mindset. Additionally, they should possess a continuous improvement approach, balancing urgent priorities with long-term analytical advancements.<br>
Responsibilities include, but are not limited to the following:<br>
<br>
Data Product Development<br>
<ul><li>Build tools required to document the observations of the Specialists conducting inspections which includes EHS scoring model, ensure comprehensive gathering of business requirements is conducted and documented while also ensuring that there is a uniformity with taxonomies and data structure.
</li><li>Develop targeted reports, EHS dashboards, and data visualization models that surface key information and trends related to the EHS oversight findings.
</li><li>Shadow Business Unit Specialists in the field during oversight inspection to assist in creating documentation tools to capture real life inspection conditions.
</li><li>Lead the planning and implementation of AEU projects ensuring projects are completed according to outlined objectives, and project timelines.
</li><li>Create and maintain comprehensive project documentation, project tasks; minutes; actions items, including preparing project progress reports.
</li></ul><br>
Reporting/Analysis<br>
<ul><li>Prepare recurring and ad-hoc reports on EH&amp;S program performance using Power BI, Smartsheet, and Excel, ensuring accurate and timely insights for senior management and Business Units. Develop interactive dashboards and data visualizations to enhance decision-making and stakeholder engagement.
</li><li>Perform data wrangling, exploratory data analysis (EDA), ETL process, and advanced statistical modeling using Python, SQL, Power BI, Excel to derive actionable insights from EH&amp;S data, enabling evidence-based decision-making and guiding the EH&amp;S Officer in developing effective, data-driven program strategies for Authority-wide improvements.</li><li>Develop, optimize, debug, maintain data pipelines using Power BI and Smartsheet ensuring data integrity, performance, and security and apply predictive models to answer complex and nuanced questions about the EHS programs and anticipate future needs and behavior of the systems; prepare reports and briefing materials.</li><li>Assist with the establishment of performance metrics and reporting cycles.</li></ul><br>
Data Quality Assurance
<br>
<ul><li>Review portfolio data to identify anomalies and ensure timely corrections are made to ensure accurate reporting; escalate any unresolved discrepancies.</li><li>Ensure all data is validated doing a crosswalk of the exported results; supporting documentation; and submitted Activity Reports, in addition to conducting peer reviews.</li><li>Build and maintain a DQA report identifying user errors; DQA activities; other metrics required.
</li><li>Provide DQA training to all users.
</li><li>Ensure Data Discrepancies Log is maintained.</li></ul><br>
Data Product Management<br>
<ul><li>Ensure tools developed by AEU are functioning according to requirements, includes but not limited to; reviewing and monitoring data pipelines regularly; managing user permissions; managing product file storage and security, addressing Smartsheet Mastersheet function limits; and automation workflow functions.
</li><li>Assist with monitoring and maintaining EHS Power BI dashboards and ensure any system anomalies, defects, performance issues are identified, diagnosed, and resolved in timely manner.
</li><li>Maintain Product Change Logs; includes tracking dashboard and checklists form versions.</li></ul><br>
Project Management<br>
<ul><li>Assist AEU Administrator and Deputy Director project manage department and agency wide projects that support EHS&rsquo; mission to improve environmental health and safety at NYCHA.</li><li>Liaise with the IT project Management Office (PMO) on EHS projects.
</li><li>Build/Maintain EHS Master project status dashboard.
</li></ul><br>
Special Projects:<br>
<ul><li>Perform special projects, ad-hoc analysis, and prepare relevant reports and presentations as assigned.</li></ul><br>
Additional Information<br>
1. NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year at current location and in current title and level (if applicable).<br>
2. NYCHA residents are encouraged to apply.<br>
<br>
Please read this posting carefully to make certain you meet the qualification requirements before applying to this position.<br>
<br>
CITY RESEARCH SCIENTIST - 21744</div><p><b><br>
Minimum Qualifications</b></p><p><br>
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
<br>
To be appointed to Assignment Level II and above, candidates must have:
<br>
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
<br>
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in &quot;2&quot; above. Two years as a City Research Scientist Level I can be substituted for the experience required in &quot;1&quot; and &quot;2&quot; above.
<br>
<br>
NOTE:
<br>
Probationary Period
<br>
Appointments to this position are subject to a minimum probationary period of one year.</p><p><b><br>
Preferred Skills</b></p><br>
1. Must know Oracle SQL and Power BI, Python, ML Algorithms, Statistics. 2. Advance knowledge in Microsoft Excel, creating formulas pivots data visualization. 3. Working knowledge of Smartsheet, tools, methods, and concepts of quality assurance. 4. Ability to use data and metrics to drive decisions and measure performance. 5. Exceptional interpersonal skills, including verbal and written communications, executive staff management and conflict resolution 6. Excellent administrative and organizational skills. 7. Ability to manage relationships, balance competing priorities, and manage up and down. 8. Experience managing high-priority projects and tracking project life-cycles. 9. Experience working collaboratively to develop and execute project plans. 10. Ability to make timely and effective decisions and produce results through strategic planning. 11. Firm working knowledge of Microsoft Project, Word, and Excel. 12. A leader with the ability to cultivate creativity and innovation while enforcing accountability and maintaining high levels of work ethic. 13. Experience collaborating with a diversity of cultures and sensitive to the challenges of low-income populations. 14. Knowledge in housing, health and/or environmental policy is a plus.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
NYCHA has no residency requirements.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771842</div>
</div></div><div><div><div><div>Posted until
</div><div>05/09/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>21744</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>CITY RESEARCH SCIENTIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>02</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Data Scientist</div></div></div></div></div></div><p></p>

Data Scientist

Anthropic

<div>
 <strong>
  <strong>
   About Anthropic
   <br/>
   <br/>
  </strong>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company&rsquo;s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You&rsquo;ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
 <br/>
 <br/>
 <strong>
  <strong>
   Core Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Define key metrics, build measurement frameworks, and maintain core reporting to evaluate success
  </li>
  <li>
   Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
  </li>
  <li>
   Develop hypotheses, apply rigorous causal inference methods &ndash; controlled experiments, synthetic controls &ndash; and analyze the results in order make actionable recommendations
  </li>
  <li>
   Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
  </li>
  <li>
   Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
  </li>
  <li>
   Present complex analyses and recommendations to both technical and non-technical stakeholders
  </li>
  <li>
   Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You May Be a Good Fit If You Have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   5+ years of experience in data science or analytics roles
  </li>
  <li>
   Deep expertise with Python, SQL, and data visualization tools
  </li>
  <li>
   Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
  </li>
  <li>
   Highly effective written communication and presentation skills
  </li>
  <li>
   A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  </li>
  <li>
   A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
  </li>
  <li>
   A passion for the company&rsquo;s mission of building helpful, honest, and harmless AI
  </li>
  <li>
   Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re hiring across multiple pillars
 <br/>
 <br/>
 Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.
 <br/>
 <br/>
 <strong>
  Platform Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform&mdash;spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
  </li>
  <li>
   Experience supporting B2B sales teams with data insights
  </li>
  <li>
   Strong instincts for what drives product adoption, engagement, and retention
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Consumer Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences&mdash;including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
  </li>
  <li>
   Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
  </li>
  <li>
   Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Research Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
  </li>
  <li>
   Comfort working with unstructured data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Enterprise &amp; Verticals product team - this team is responsible for transforming the way businesses work, enabling enterprise users to know more, create more, and see more with Claude. You'll partner closely with product, engineering, design, sales, and customer success to understand enterprise customers and deliver data-driven insights to improve how Claude serves knowledge workers.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience evaluating new verticals and driving data insights to help the team find PMF for 0-&gt;1 bets
  </li>
  <li>
   Deep understanding over knowledge workers and experience partnering with product teams to build for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool to meet the needs of Enterprise businesses. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with software development workflows, developer tools, and engineering productivity metrics&mdash;ideally from working at developer-focused companies or on products targeting software engineers
  </li>
  <li>
   Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
  </li>
  <li>
   Experience supporting product teams building for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we introduce Claude to Enterprise businesses.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience working at multi-segment, multi-product B2B companies serving Enterprise customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we bring Claude Code to the world.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience building, selling or marketing developer tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn messy, high-stakes commercial data into actionable strategy. You will play a crucial role in driving data-informed decisions across the commercial customer lifecycle&mdash;from new logo acquisition through activation, expansion, and retention&mdash;for a rapidly scaling consumption-based AI platform.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Infrastructure Data Scientist
  <br/>
  <br/>
 </strong>
 You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed systems and performance engineering, ideally in ML infrastructure contexts (model serving, inference latency, large-scale system metrics)
  </li>
  <li>
   Familiarity with SRE practices, error budgets, SLOs/SLIs, observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Productivity Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of data science, developer experience, and AI tooling &mdash; and offers the rare opportunity to study frontier AI usage from the inside, with the builders themselves as your users. You'll define how Anthropic understands and improves developer productivity &mdash; both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct experience working with developer productivity, infrastructure, performance, or platform teams in hypergrowth environments
  </li>
  <li>
   Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary:
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  <strong>
   How We're Different
   <br/>
   <br/>
  </strong>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


LufCo

<div><p><b>Overview</b></p>
<p><b>Position Title:</b> Data Scientist</p>
<p><b>Location:</b> Aberdeen, MD; 60-80% Onsite</p>
<p><b>Reports To:</b> Program Manager</p>
<p><b>Job Type:</b> Full-time</p>
<p><b>Clearance Requirement:</b> TS/SCI (able to process, US citizenship is a must)</p>
<p><b>Summary:</b></p>
<p>The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets related primarily to signals data. This role will mix research and development to play a key role in LufCo's never-ending pursuit of the cutting edge.
</p><p>This role is best suited for someone with a PhD in quantitative discipline who enjoys researching and building. The ideal candidate can seamlessly and autonomously navigate the shift between independent and collaborative tasking.</p>
<p><b>Key Responsibilities:</b></p>
<ul><li>Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.</li><li>
Prototype algorithms to target the most suitable model for the specific dataset/metrics.</li><li>
Build models or develop experiments to generate data when training models.</li><li>
Generate reports and/or visualizations that summarize datasets and provide data-driven insights to customers.</li><li>
Partner with subject matter experts to understand the source and output goals of datasets.</li><li>
Translate customer goals into quantitative formulations.</li></ul>
<p></p><p><b>Qualifications</b></p><br>
<p><b>Education:</b></p>
<ul><li>Graduate degree in a quantitative discipline (statistics, mathematics, operations research, computer science, etc.).<ul><li>
Masters is acceptable, but PhD is preferred.</li></ul></li></ul>
<p><b>Experience:</b></p><br>
<ul><li>5+ years or more experience working in a titled, or related, Data Scientist role.</li></ul>
<p><b>Skills:</b></p>
<ul><li>Experience programming with data analysis software such as R, Python, SAS, or MATLAB.</li><li>
Hands-on experience training models for machine learning and writing artificial intelligence focused algorithms.</li><li>
Excellent task management.<br>
</li><li>
Strong written communication.</li></ul><br>
<p><b>Physical Requirements:</b></p>
<ul><li>Ability to travel as required.</li><li>
Standard office environment with occasional requirements to visit client sites, labs, or field environments.</li></ul>
<p></p><p><b>Why Join Us?</b></p>
<ul><li><b>Impactful Work:</b> Contribute to critical national security initiatives and make a real difference in protecting our nation.</li><li><b>
Cutting-Edge Technology:</b> Work with the latest advancements in SIGINT and related fields.</li><li><b>
Career Growth:</b> Opportunities for professional development, training, and advancement within a growing company.</li><li><b>
Collaborative Environment:</b> Join a team of highly skilled and supportive engineers who are passionate about their work.</li><li><b>
Comprehensive Benefits: </b>Competitive salary, generous PTO, health/dental/vision insurance, 401K matching, tuition reimbursement.</li></ul>
<p></p><p><b>Compensation and Benefits:</b></p>
<ul><li>Competitive Pay: Salaries depend on labor category, years of experience, education, skills relevant to the position, and type of contract.</li><li>
Benefits: Including Paid Time Off; 401K Contribution and Employer Match Contributions; and Medical, Dental, and Vision Coverage.</li><li>
For the full list of LufCo Benefits, visit our website: https://www.lufburrow.com/careers (https://www.lufburrow.com/careers)</li></ul><br>
<p></p><br>
<br>
<p><i>Position availability can vary due to dynamic, evolving contract needs. This job posting being active does not guarantee an immediately available position matching its description. This job description is intended to provide a general overview of the responsibilities and qualifications for this position. It is not an exhaustive list and may be subject to change based on the needs of the company.</i></p>
<p><i>LufCo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</i></p>
<p></p><p>LufCo Employees: This position qualifies for up to a Blue Award level referral bonus. For more information, visit the Employee Portal.</p></div><p></p>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>Technical:
</div><ul><li> Strong proficiency in Python / R (Pandas, NumPy, Scikit-learn, PySpark)
</li></ul><ul><li> Experience with time-series data and event/alarm analytics,sliding winsows, inmemory DB
</li></ul><ul><li> Knowledge of machine learning algorithms for classification, clustering, and anomaly detection
</li></ul><ul><li> Experience with SQL, big data platforms (Spark, Hadoop),Kafka
</li></ul><ul><li> Visualization tools: Tableau, Power BI, Grafana, or Python visualization libraries Domain
</li></ul><ul><li> Understanding of Wireless Networks (2G/3G/4G/5G, RAN, Core)
</li></ul><ul><li> Knowledge of IEN / IP / Ethernet networking concepts
</li></ul><ul><li> Familiarity with network alarms, fault management, OSS/NMS systems</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div> <div>Data Analysis &amp; Insight Generation
</div><ul><li> Analyze large-scale wireless (RAN, Core) and IEN network alarm data from OSS/NMS systems
</li></ul><ul><li> Identify patterns, trends, and recurring fault signatures across network domains
</li></ul><ul><li> Develop KPIs and dashboards to track network health and fault trends
</li></ul><div>Machine Learning &amp; Modeling
</div><ul><li> Build models for:
</li></ul><ul><li> Alarm correlation and noise reduction
</li></ul><ul><li> Root cause analysis (RCA)
</li></ul><ul><li> Anomaly detection
</li></ul><ul><li> Predictive fault and failure forecasting
</li></ul><ul><li> Apply supervised and unsupervised learning techniques (clustering, classification, time-series analysis)
</li></ul><div>Data Engineering &amp; Automation
</div><ul><li> Clean, normalize, and enrich alarm data from multiple sources
</li></ul><ul><li> Integrate data from OSS, EMS, NMS, CMDB, and performance systems
</li></ul><ul><li> Automate fault insight pipelines and model deployment
</li></ul><div>Collaboration &amp; Operations Support
</div><ul><li> Work closely with NOC, Network Engineering, and Reliability teams
</li></ul><ul><li> Translate analytical findings into operational recommendations
</li></ul><ul><li> Support proactive maintenance and incident prevention initiatives
</li></ul><div>Visualization &amp; Reporting
</div><ul><li> Create interactive dashboards and reports for real-time fault monitoring
</li></ul><ul><li> Present insights clearly to technical and non-technical stakeholders</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills:
</div><ul><li> Strong analytical and problem-solving skills
</li></ul><ul><li> Ability to communicate insights effectively
</li></ul><ul><li> Experience working in cross-functional operational teams</li></ul><br>
<div><br>
</div>Salary Range: $120,000-$150,000 a year<br>
<div><br>
</div><div>#LI-DM1</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>401116</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Oracle

<div><p><b>Entity </b>: Oracle America, Inc.<br>
</p><p></p><p><b>Job Duties </b>: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse &ldquo;big data&rdquo; sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.28104)<br>
</p><p><br>
Employer will accept a Master's degree in Computer Science, Engineering, Computer Information Systems or related technical field and 5 years of experience in the job offered or in a Data Scientist-related occupation. Position requires:
</p><ul><li>Java;
</li><li>Python;
</li><li>REST APIs;
</li><li>Microservices;
</li><li>Big Data including: HiveSQL, Spark, Elastic Cache, and Redis;
</li><li>Agile Development;
</li><li>Test Driven Development Junit and Selenium
</li><li>Data Structures;
</li><li>Databases SQL and NoSQL; and
</li><li>Distributed Systems and cloud platforms (OCI).</li></ul></div>

Docusign

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 Docusign's Product Data Science team is looking for a Data Scientist to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products. If you are an experienced data scientist passionate about data-driven product development and building products and capabilities that enable a culture of &ldquo;test and learn,&rdquo; then this could be a great role for you.
 <br/>
 <br/>
 This position is an individual contributor role reporting to the Director of Product Data Science.
 <br/>
 <br/>
 <strong>
  Responsibility
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention
  </li>
  <li>
   Be the subject matter expert for driving the product data strategy for the areas you support.
  </li>
  <li>
   Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact
  </li>
  <li>
   Specify and help implement product telemetry, define key performance indicators with goals, and own and manage regular reports to create insights around product usage and success
  </li>
  <li>
   Partner with Global Data Analytics team to automate data pipelines to snowflake from different source systems
  </li>
  <li>
   Design and build automated dashboards that connect data from internal and external data sources, with visualizations and tools that allow business users to self-serve on their website data needs
  </li>
  <li>
   Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models
  </li>
  <li>
   Leverage data to develop actionable analytical insights and present findings to senior management
  </li>
  <li>
   Evangelize models, frameworks, analysis, and insights with stakeholders and business partners
  </li>
  <li>
   Act with a sense of urgency and purpose, identify and resolve roadblocks, reach out to cross-functional team members to solicit input and/or assist when appropriate
   <br/>
   <br/>
  </li>
 </ul>
 Job Designation
 <br/>
 <br/>
 <strong>
  Hybrid:
 </strong>
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 <br/>
 <br/>
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 <br/>
 <br/>
 What you bring
 <br/>
 <br/>
 <strong>
  Basic
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance) or equivalent work experience
  </li>
  <li>
   2+ years of demonstrated experience with business analytics or product analytics in a data science or analytics role in a SaaS/Cloud industry
  </li>
  <li>
   Experience with pulling data from external sources, joining data from disparate data systems and distilling large data sets into actionable insights that drive business value
  </li>
  <li>
   Experience with SQL for data analysis and data validation
  </li>
  <li>
   Experience with data visualization tools such as Tableau, Power BI, or similar
  </li>
  <li>
   Experience with statistics and rigorous analytical techniques
  </li>
  <li>
   Experience solving real business problems using data and analytics
  </li>
  <li>
   Experience communicating data and technical work to non-technical stakeholders
  </li>
  <li>
   Experience working with Product Engineering and other technical teams to implement the product telemetry requirements
  </li>
  <li>
   Knowledge and experience of agile/scrum product development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication and leadership skills, especially the ability to collaborate cross-functionally and lead through influence across functional and organizational lines
  </li>
  <li>
   Ability to present data in a visual format and explain the insights clearly and concisely
  </li>
  <li>
   Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies
  </li>
  <li>
   Experience designing and refining machine learning models
  </li>
  <li>
   Experience with Python or R
  </li>
  <li>
   Familiarity with data engineering processes
  </li>
  <li>
   Highly motivated, organized, self-starter who thrives in a fast-paced environment
   <br/>
   <br/>
  </li>
 </ul>
 Wage Transparency
 <br/>
 <br/>
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 <br/>
 <br/>
 Based on applicable legislation, the below details pay ranges in the following locations:
 <br/>
 <br/>
 California: $100,300.00 - $154,900.00 base salary
 <br/>
 <br/>
 <strong>
  This Role Is Also Eligible For The Following
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  </li>
  <li>
   Stock: This role is eligible to receive Restricted Stock Units (RSUs).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Global benefits provide options for the following:
 <br/>
 <br/>
 <ul>
  <li>
   Paid Time Off: earned time off, as well as paid company holidays based on region
  </li>
  <li>
   Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  </li>
  <li>
   Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  </li>
  <li>
   Retirement Plans: select retirement and pension programs with potential for employer contributions
  </li>
  <li>
   Learning and Development: options for coaching, online courses and education reimbursements
  </li>
  <li>
   Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Authorization Notice:
 </strong>
 Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
 <br/>
 <br/>
 Life at Docusign
 <br/>
 <br/>
 <strong>
  Working here
  <br/>
  <br/>
 </strong>
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 <br/>
 <br/>
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 <br/>
 <br/>
 <strong>
  Accommodation
  <br/>
  <br/>
 </strong>
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 <br/>
 <br/>
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 <br/>
 <br/>
 Applicant and Candidate Privacy Notice
 <br/>
 <br/>
 States Not Eligible for Employment
 <br/>
 <br/>
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 <br/>
 <br/>
 EEO Know Your Rights poster
 <br/>
 <br/>
</div>


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