data science lead

Venatore

<div><p><b>About Us</b><br>
Venat&ocirc;re is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most.</p><p><b>
About the Job</b><br>
The Data Scientist Lead is responsible for leading the organization's data science, data engineering, and analytics functions in support of mission-critical military operations. This senior technical leadership role oversees the design, development, and operationalization of advanced data analytics, artificial intelligence, and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into scalable technical solutions while providing strategic direction, technical oversight, and mentorship to a multidisciplinary team. This position requires the ability to manage multiple priorities in a dynamic, mission-focused environment and may require occasional domestic and international travel.</p><p><b>
Responsibilities</b></p><p><b>
Leadership &amp; Strategic Oversight</b></p><ul><li>
Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives.</li><li>
Establish strategic priorities for data management, advanced analytics, AI/ML, and data engineering initiatives.</li><li>
Serve as the senior technical advisor on data science, machine learning, and analytics capabilities.</li><li>
Mentor and develop technical staff while promoting best practices, innovation, and continuous improvement.</li><li>
Manage multiple concurrent projects, priorities, and deliverables in a fast-paced operational environment.</li></ul><p><b>
Data Science &amp; Artificial Intelligence</b></p><ul><li>
Lead the development, validation, deployment, and operationalization of advanced statistical models and AI/ML solutions.</li><li>
Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including Large Language Models (LLMs) and multimodal AI, to solve complex mission challenges.</li><li>
Guide the full data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, and performance monitoring.</li><li>
Evaluate emerging AI and machine learning technologies for mission applicability and operational effectiveness.</li></ul><p><b>
Data Engineering &amp; Architecture</b></p><ul><li>
Oversee the design, implementation, and maintenance of secure, scalable, and fault-tolerant data pipelines supporting structured and unstructured data.</li><li>
Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse architectures.</li><li>
Ensure data quality, governance, accessibility, and compliance throughout the data lifecycle.</li><li>
Support enterprise data management strategies and architecture modernization initiatives.</li></ul><p><b>
Stakeholder Engagement &amp; Mission Support</b></p><ul><li>
Collaborate with the USCENTCOM Chief Data Officer (CDO), Operations Directorate Executive Data Officer (XDO), and other government stakeholders to define operational data requirements.</li><li>
Participate in governance boards, technical working groups, and strategic planning forums.</li><li>
Translate complex technical findings into clear, actionable recommendations for senior military leadership and non-technical stakeholders.</li><li>
Ensure analytical capabilities directly support operational planning, mission execution, and strategic decision-making.</li></ul><p><b>
Analytics &amp; Technology</b></p><ul><li>
Guide the use of SQL, Python, R, and other analytical tools to develop data-driven solutions.</li><li>
Oversee implementation and utilization of visualization platforms such as Power BI, Tableau, Qlik, Palantir Foundry, and Maven Smart System (MSS).</li><li>
Support enterprise analytics platforms, distributed data processing technologies, and database environments including Apache Spark, Databricks, Hadoop, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server.</li><li>
Promote adoption of modern analytics methodologies and industry best practices.</li></ul><p><b>
Required Qualifications</b></p><ul><li>
U.S. Citizenship is required.</li><li>
Active Top Secret security clearance with SCI eligibility.</li><li>
Bachelor's degree in Data Science, Analytics, Computer Science, Information Technology, or a related technical discipline.</li><li>
More than 10 years of progressively responsible experience in data science, analytics, or data engineering, including significant leadership experience.</li><li>
Demonstrated experience supporting Military, Federal Government, or Intelligence Community organizations.</li><li>
Proven experience gathering, implementing, and managing data science requirements for senior government stakeholders.</li><li>
Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li><li>
Advanced proficiency in Python and/or R for data engineering, automation, analytics, and machine learning development.</li><li>
Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lake/lakehouse environments.</li><li>
Experience with enterprise data visualization and analytics platforms, including Power BI, Tableau, Qlik, Palantir Foundry, or Maven Smart System (MSS).</li><li>
Experience working with distributed data processing technologies such as Apache Spark, Databricks, and Hadoop.</li><li>
Experience administering or utilizing relational database platforms including SQL Server, Oracle, PostgreSQL, and MySQL.</li><li>
Strong written and verbal communication skills with demonstrated experience briefing senior military or government leadership.</li><li>
Ability to travel occasionally to domestic and international locations.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Master's degree in Data Science, Computer Science, Analytics, Information Technology, or another related technical discipline.</li><li>
Experience implementing enterprise data and analytics solutions within Azure, AWS, or Google Cloud environments.</li><li>
Strong knowledge of Department of Defense data strategies, governance frameworks, cybersecurity requirements, and information assurance standards.</li><li>
Experience with ESRI ArcGIS technologies and geospatial analytics.</li><li>
Demonstrated success leading cross-functional technical teams in fast-paced operational environments.</li><li>
Experience supporting AI/ML modernization initiatives within Department of Defense or Intelligence Community organizations.</li></ul><p><b>
Benefits</b><br>
Venat&ocirc;re offers a competitive benefits package designed to support the well-being of our employees, including:</p><ul><li>
Paid Time Off (PTO)</li><li>
10 Federal Holidays</li><li>
401(k) with company matching</li><li>
Medical, dental, and vision insurance</li><li>
Paid military leave</li></ul><p><i>
Venat&ocirc;re is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.</i></p></div>

Data Scientist Lead

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3584
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Responsibilities
<br>
<ul><li>Strategic Leadership:
</li></ul>Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
<br>
<ul><li>Technical Excellence:
</li></ul>Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
<br>
<ul><li>Team Leadership:
</li></ul>Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
<br>
<ul><li>Stakeholder Engagement:
</li></ul>Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
<br>
<ul><li>Governance &amp; Compliance:
</li></ul>Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
<br>
<ul><li>Operational Excellence:
</li></ul>Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
<br>
<ul><li>Expert Knowledge Application:
</li></ul>Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
<br>
<ul><li>Complex Problem Solving:
</li></ul>Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
<br>
<ul><li>Professional Know-How:
</li></ul>Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div><div><p>Responsibilities and Accountabilities:</p>
<ul><li>Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
</li><li>Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
</li><li>Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
</li><li>Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
</li><li>Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
</li></ul>Responsibilities and Accountabilities:
<ul><li>Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
</li><li>Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
</li><li>Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
</li><li>Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
</li><li>Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
</li><li>Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
</li><li>Ensure robust documentation, explainability, and auditability of all models and analytics solutions</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div><div><p>Relevant certifications in AI/ML, MLOps, and Data Governance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments</p>
<p>Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><p>8 years of relevent experience</p></div></div></div></div></div></div></div></div><p></p>

Data Science Expert

Point Digital Finance

<div><div><h3 class="jobSectionHeader"><b>About Point</b></h3>
<p><b>
✨ Real Impact, Real People:</b> Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.</p>
<p><b>
✨ Funding:</b> With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we're scaling fast! You have the opportunity to join us at a pivotal stage.</p>
<p><b>
✨ Game-changing Product:</b> We're building a category defining company in home equity. We've earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.</p>
<p><b>
✨ Great Place to Work:</b> Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.</p>
<p><b>
✨ Remote First Culture, Genuine Connection:</b> Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.</p></div><p></p><p><b><br>
Local or 100% Remote</b></p><br>
<p></p>
<p><b>
About the role</b></p>
<p>
Point is transforming how we use data &mdash; from a team that reports what happened to one that explains <i>why</i> and recommends <i>what to do next</i>. As Lead Data Analyst, you'll be the most senior analyst on the team and the standard-bearer for that shift. You'll take our hardest, highest-stakes business questions and drive them from an ambiguous ask to a rigorous, trusted answer with a clear recommendation. Working closely with leaders across product, marketing, and operations, you'll own how our most important metrics are defined and set the bar for what great analysis looks like. This is a lead individual-contributor role with a potential direct report, helping build a function that's becoming a true analytical partner to the business &mdash; and the human judgment layer on top of a company increasingly able to self-serve with AI.</p><br>
<p></p>
<p><b>
Your responsibilities</b></p>
<ul>
<li><b>Own the definition and integrity of core business metrics</b> &mdash; bring an opinionated, well-reasoned point of view and drive alignment across stakeholders on a single source of truth.</li>
<li><b>Lead end-to-end deep-dive analyses</b> on our highest-stakes questions &mdash; from framing the problem, through causal and statistical rigor, to a written recommendation the business can act on, including retrospective reads on whether past bets paid off.</li>
<li><b>Design and interpret experiments and causal analyses</b> &mdash; separate correlation from causation, and quantify the tradeoffs and elasticities leaders need to prioritize with confidence.</li>
<li><b>Serve as an embedded analytical partner</b> to senior product, marketing, and operations leaders &mdash; understand their goals, anticipate the questions, and proactively surface insights rather than just fielding requests.</li>
<li><b>Translate business logic into documented metric definitions and the semantic layer</b> that powers self-serve analytics and AI-driven data access.</li>
<li><b>Set the analytical standard for the team</b> &mdash; model rigorous, reproducible work and raise the bar through mentorship and example.</li></ul><br>
<p></p>
<p><b>
About you</b></p>
<ul>
<li><b>8+ years</b> in analytics, data science, or a quantitative decision-science role, with a track record of analyses that changed business decisions &mdash; not just dashboards.</li>
<li><b>Deep SQL expertise and warehouse fluency</b> (Snowflake and dbt a plus); comfortable navigating messy, imperfect data and reasoning rigorously about its reliability.</li>
<li><b>Strong statistical foundation</b> &mdash; causal inference, experimentation, regression &mdash; and the judgment to know which method fits the question.</li>
<li><b>Exceptional at framing ambiguous problems</b> and communicating findings crisply to senior, non-technical stakeholders; you form a point of view and defend it with evidence.</li>
<li><b>A track record of influencing decisions without formal authority</b>, and a natural standard-setter who elevates the people around you.</li>
<li><b>Bonus:</b> experience in fintech, lending, mortgage, or real estate; and hands-on experience with AI-assisted analytics (LLMs, semantic layers, self-serve tooling).</li></ul><br>
<p></p>
<p>
Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):</p>
<ul>
<li>Tier 1 | San Francisco Bay Area, New York, and Seattle | $180,500 - $199,500<b>
</b></li><li>Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles &amp; Santa Barbara | $161,500 - $178,500</li>
<li>Tier 3 | All other US metro areas | $155,800 - $172,200</li>
</ul>
<p>This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.</p><br>
<p></p>
<p>
Location Requirement: This is a remote position. However, candidates must reside in one of Point's states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.</p><p></p><div><h3 class="jobSectionHeader"><b><br>
Our benefits</b></h3>
<ul>
<li><p><b>Generous health benefits:</b> We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).</p>
</li>
<li><p><b>Unlimited paid time off:</b> Recharge with unlimited paid time off and 10 company holidays.</p>
</li>
<li><p><b>Flexible remote and onsite work:</b> Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ.</p>
</li>
<li><p><b>Fully paid parental leave:</b> Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2&ndash;3 days per week while receiving full base pay.</p>
</li>
<li><p><b>Equity:</b> We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.</p>
</li>
<li><p><b>Financial wellness:</b> We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage.</p>
</li>
<li><p><b>Extra work/life benefits:</b> We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.</p></li></ul><br>
<p>
</p><p>Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn.</p><br>
<p></p>
<p>
California Consumer Privacy Act Notice</p></div></div>

Lead Data Analyst

Director, Data Science - Central Product Platform (CPP)

Wells Fargo

<div><h2 class="jobSectionHeader"><b>About this role:
</b></h2><h2 class="jobSectionHeader"><b>Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</b></h2><h2 class="jobSectionHeader"><b>
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</b></h2><h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</b></h2></li><li><h2 class="jobSectionHeader"><b>
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</b></h2></li><li><h2 class="jobSectionHeader"><b>
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</b></h2></li><li><h2 class="jobSectionHeader"><b>
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</b></h2></li><li><h2 class="jobSectionHeader"><b>
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</b></h2></li><li><h2 class="jobSectionHeader"><b>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
2+ years of previous marketing campaign analytics experience</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical skills, with experience using data and insights to inform marketing decisions</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in SQL, Python / R, and other programming languages</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in Data visualization preferably with Tableau</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with large production data sets</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</b></h2></li><li><h2 class="jobSectionHeader"><b>
Expertise in statistical testing</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Job Expectations:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</b></h2></li><li><h2 class="jobSectionHeader"><b>
This position is not eligible for Visa sponsorship.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Relocation assistance is not available for this position.</b></h2></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
31 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Campaign Analytics & Data Science Consultant

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Secret</div>
</div><div></div><div>Category
<div>Data Science and Data Engineering</div>
</div><div></div><div>Location
<div>Sterling, Virginia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Data Modeling</p>
</div><div><p>Data Science</p>
</div><div><p>Language Models</p>
</div><div><p>Machine Learning Algorithms</p>
</div><div><p>Python (Programming Language)</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ222918</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><div>Data Scientist Sr Principal
<br>
<br>
Deliver insights to help our clients turn data into action as a Senior Data Scientist at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.
<br>
<br>
At GDIT, people are our differentiator. As a Data Scientist Senior Principal you will help ensure today is safe and tomorrow is smarter.
<br>
<br>
HOW A DATA SCIENTIST SR PRINCIPAL WILL MAKE AN IMPACT
<ul><li>Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges</li></ul></div>
<ul><li><p>Investigates, analyzes, and formulates automated search and reporting from the customer environment or enclave.</p>
</li><li><p>Evaluates, tests, and recommends various AI/ML models and tools, including Cloud based module, third party module and open-source products.</p>
</li><li><p>Develop user interface and dashboard for search capability as well as reporting and monitoring capability within hybrid cloud environment or customer provided cloud environment.</p>
</li><li><p>Ensures that cybersecurity plans, controls, processes, standards, policies, and procedures are aligned with cybersecurity standards.</p>
</li><li><p>Identifies security risks and exposures, determines the causes of security violations and suggests procedures to halt future incidents and improve security</p>
</li><li><p>May coach and provide guidance to less-experienced professionals.</p>
</li><li><p>Other duties as assigned related to developing data science and AI/ML initiatives.</p><br>
</li></ul><div><br>
<br>
<br>
WHAT YOU&rsquo;LL NEED TO SUCCEED:
<ul><li>Education: Bachelors of Science
</li><li>Required Experience: 10+ years of related experience
</li><li>Security Clearance Level: Minimum Secret Clearance
</li><li>Travel: Occasional travel may be required
</li><li>Location: Hybrid
</li><li>US Citizenship Required
</li></ul></div><p></p><p>Required Technical Skills:</p>
<ul><li>Advanced Python programming skills with strong familiarity with AI/ML modules</li>
<li>Proficiency in machine learning algorithms</li>
<li>Proficiency in data modeling and visualizations</li>
<li>Proven experience as a software developer, particularly with language models</li>
<li>Working experience with Windows and Linux development environments</li>
<li>Excellent communication skills and ability to conduct presentations to various audiences, including senior leadership</li>
<li>Must be able to document design, pseudo codes, and flow chart for review and approval</li>
<li>Familiarity with Data Science related Mathematics including statistics and probability, linear algebra and calculus</li>
</ul><p></p><p>Key Responsibilities:</p>
<ul><li>Develop AI/ML tool based on customer requirements</li>
<li>Communicate and work with team members to meet contractor obligations</li>
<li>Engage with customer stakeholders and PMO team on a regular basis</li>
<li>Lead and devise innovative methods and techniques to leverage AI/ML to improve risk assessments</li>
<li>Provide input to project planning and weekly reports</li>
<li>Document design, tool&rsquo;s requirements and user guide</li>
<li>Setup and provide tool demos to stakeholders</li>
</ul><p></p><p>Own your career as a Data Scientist at GDIT. Here, you&rsquo;ll have the opportunity to build advanced AI/ML tools using cutting-edge technologies. Your work in data analytics at GDIT will have an impact on securing our clients&rsquo; missions and ensuring we anticipate the threats of tomorrow.</p>
<p></p><p>The Data Scientist will serve as a pivotal figure within the organization. This role demands a professional with a solid grasp of data modeling, machine learning, AI and language such as Python and SQL.</p>
<p></p><div>GDIT IS YOUR PLACE:
<ul><li>Full-flex work week to own your priorities at work and at home
</li><li>401K with company match
</li><li>Comprehensive health and wellness packages
</li><li>Internal mobility team dedicated to helping you own your career
</li><li>Professional growth opportunities including paid education and certifications
</li><li>Cutting-edge technology you can learn from
</li><li>Rest and recharge with paid vacation and holidays</li></ul></div>
</div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $152,150 - $205,850. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Senior Data Scientist - Government Clearance Required

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><b>
Role summary:</b>
<br>
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role requires proficiency in data sourcing, model development, validation, and scalable deployment, alongside strong coding and visualization skills. You will collaborate with cross-functional teams to translate complex business challenges into actionable insights, guiding decision-making through robust data strategies. Your expertise will support continuous improvement and innovation, ensuring data assets deliver measurable value aligned with Walmart&rsquo;s strategic objectives.
<br>
<b>About the team:</b>
<br>
The team leads Walmart Search&rsquo;s data science and measurement strategy, collaborating with senior leaders to drive business growth. They develop analytical roadmaps focused on ranking, relevance, and monetization while building an advanced self-serve analytics platform to accelerate insights. The team designs and executes large-scale experimentation programs, including A/B testing across search ranking, user interface, and monetization features. By applying advanced analytics and machine learning, they prioritize innovation and impact to enhance customer experience and business outcomes. Strong leadership, project management, and collaboration skills are essential to their success.
<br>
<b>What you'll do:</b>
<br>
<ul><li>Identify and source relevant data from multiple business domains and databases to support analytical initiatives.</li><li>
Perform data quality assessments and ensure data integrity for accurate model development.</li><li>
Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.</li><li>
Evaluate model performance through rigorous validation techniques and optimize for scalability and sustainability.</li><li>
Create clear and insightful data visualizations to communicate findings effectively to stakeholders.</li><li>
Translate complex business problems into data-driven solutions aligned with strategic objectives.</li><li>
Mentor junior team members on analytical methods and best practices.</li></ul>
<br>
<b>What you'll bring:</b>
<br>
<ul><li>Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.</li><li>
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau to communicate complex insights effectively.</li><li>
Strong knowledge of data source identification, data quality assessment, and data governance principles within distributed data environments.</li><li>
Ability to develop, test, validate, and deploy scalable analytical models aligned with business objectives.</li><li>
Demonstrated expertise in translating business requirements into data-driven solutions and providing actionable recommendations.</li><li>
Experience mentoring junior associates and collaborating cross-functionally to drive data-enabled decision-making.</li></ul>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1- Bachelor&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3<br>
years' experience in an analytics related field. Option 2- Master&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,<br>
Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or<br>
related field.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, Master&rsquo;s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
809 11th Ave, Sunnyvale, CA 94089-4731, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Senior, Data Scientist

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