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data scientist - data & data science (seattle, wa) Jobs in Seattle

data scientist data data science seattle wa

Starbucks

<div>
 <strong>
  Now Brewing &ndash; Data Scientist! #tobeapartner
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 </strong>
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 <br/>
 From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
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 As a Data Scientist on the Data and Analytics (D&amp;A) team, you will be responsible for developing, enhancing, and maintaining analytical models and optimization algorithms. Your work will translate complex analyses into actionable business insights, empowering leaders to make data-driven decisions.
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 You will collaborate closely with cross-functional teams&mdash;including Finance, Store Development, Retail Testing, Supply Chain, Marketing, Product, and Customer teams&mdash;to support strategic initiatives and influence key business decisions.
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 <em>
  <strong>
   As a data scientist, you will&hellip;
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  </strong>
 </em>
 <ul>
  <li>
   Conduct Exploratory Data Analysis - Analyze large-scale datasets through data wrangling, feature engineering, and statistical exploration. Build reusable data pipelines using tools such as Pandas, Databricks SQL, and Spark to uncover trends, prepare raw data for modeling, and generate actionable insights.
  </li>
  <li>
   Develop and Maintain Analytical Models - Design, enhance, and sustain statistical/analytical models tailored to specific domains such as store testing and experimentation, store development, supply chain, and marketing.
  </li>
  <li>
   Build Predictive and Descriptive Models - Leverage historical data, domain attributes, and external signals to develop models that address diverse business challenges and improve decision-making.
  </li>
  <li>
   Collaborate Cross-Functionally - Partner with teams across data engineering, operations, product, supply chain, and more to translate business needs into scalable data science solutions.
  </li>
  <li>
   Influence Strategic Planning - Provide data-driven recommendations to senior leaders, contributing to long-term strategies and business roadmaps.
  </li>
  <li>
   Demonstrate Curiosity and a Growth Mindset - Tackle complex problems with intellectual curiosity, continuously explore new features and methodologies, and stay up-to-date with industry trends and best practices.
  </li>
  <li>
   Thrive in a Collaborative, Impact-Driven Team - Join a high-performing, supportive team that values innovation, continuous learning, and delivering meaningful business outcomes.
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  </li>
 </ul>
 <strong>
  We&rsquo;d love to Hear From People With
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  <br/>
 </strong>
 <ul>
  <li>
   Bachelors+ with concentration in quantitative discipline &ndash; Stats, Math, Comp Sci, Engineering, or similar discipline. Masters preferred. Minimum of 1 year of experience
  </li>
  <li>
   Proficiency in coding languages for data preparation and modeling, including SQL for querying large datasets and Python for building pipelines and statistical models
  </li>
  <li>
   Solid understanding of statistical concepts, and techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems
  </li>
  <li>
   Experience with data visualization tools and techniques (e.g., Tableau, Power BI) to communicate insights effectively to technical and non-technical audiences
  </li>
  <li>
   Demonstrated curiosity and analytical rigor, with a strong ability to explore complex datasets, identify patterns, and generate actionable insights
  </li>
  <li>
   Excellent attention to detail, along with strong written and verbal communication skills to collaborate across cross-functional teams and present findings to stakeholders
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  </li>
 </ul>
 <strong>
  Preferred Skills
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 </strong>
 <ul>
  <li>
   Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
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   <br/>
  </li>
 </ul>
 As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
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 <ul>
  <li>
   If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
   <br/>
   <br/>
  </li>
 </ul>
 The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.  At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
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 We believe we do our best work when we're together, which is why we're onsite four days a week.
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 <strong>
  Join us and inspire with every cup. Apply today!
  <br/>
  <br/>
 </strong>
 <em>
  Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
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 </em>
 <em>
  Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
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 </em>
 <em>
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 </em>
 <em>
  Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at
 </em>
 <em>
  applicantaccommodation
 </em>
 <em>
  or 1(888) 611-2258.
 </em>
</div>


data scientist - Data & Data Science (Seattle, WA)

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
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 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
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 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
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 <br/>
 Key job responsibilities
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 <br/>
 <ul>
  <li>
   You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
  </li>
  <li>
   You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
  </li>
  <li>
   You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
  </li>
  <li>
   You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
  </li>
  <li>
   You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
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  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
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 </strong>
 <ul>
  <li>
   1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  </li>
  <li>
   2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
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  <li>
   1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
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  <li>
   Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
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  </li>
 </ul>
 <strong>
  Preferred Qualifications
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 </strong>
 <ul>
  <li>
   Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
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  <li>
   Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
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  <li>
   Knowledge of machine learning concepts and their application to reasoning and problem-solving
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  <li>
   Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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   Experience applying quantitative analysis to solve business problems and making data-driven business decisions
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  <li>
   Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
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  <li>
   Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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   <br/>
  </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
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 <br/>
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
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 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
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 <br/>
 Job ID: A3206663
</div>


Data Scientist I, SHAKE

Opendoor

<div>
 <strong>
  Data Scientist, Pricing
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  <br/>
 </strong>
 <em>
  <strong>
   Location: Hyrbrid 4 onsite, 1 remote
  </strong>
  Seattle WA.
  <br/>
  <br/>
 </em>
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
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 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
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 <strong>
  What You&rsquo;ll Do
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 </strong>
 <ul>
  <li>
   Build and maintain pricing metrics, dashboards, and frameworks.
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   Run experiments and causal analyses to measure impact and drive decisions.
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   Develop predictive + statistical models that improve pricing accuracy.
  </li>
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   Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
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  <li>
   Deliver insights and narratives that inform executive strategy.
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  </li>
 </ul>
 <strong>
  Skills &amp; Qualifications
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 </strong>
 <ul>
  <li>
   Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  </li>
  <li>
   Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  </li>
  <li>
   Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  </li>
  <li>
   Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  </li>
  <li>
   Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  </li>
  <li>
   High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  </li>
  <li>
   Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
  </li>
  <li>
   8+ years of experience in data science, product analytics, or a similar quantitative role.
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   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Base salary range for this role varies. Generally, the base salary range is $186,000 &ndash; $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
  <br/>
  <br/>
 </em>
 #
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 <br/>
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
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</div>


Data Scientist

Umoja Biopharma

<div><div><p>Umoja Biopharma is an industry-leading biotech with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting-edge drug development. We are committed to our core values and principles that support our overall mission and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja to deliver on our goals. We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families.</p>
<p>
Umoja Biopharma &ndash; Your Body. Your Hope. Your Cure.</p></div><p><b>
POSITION SUMMARY</b><b>
</b></p><p>The Senior Director, Clinical Data Management will provide strategic and operational leadership for all clinical data management activities across Umoja's clinical development programs. This role sits within the Clinical organization and is accountable for ensuring the integrity, quality, and regulatory compliance of clinical trial data from protocol development through database lock and regulatory submission.</p>
<p>
This individual will lead the planning, execution, and oversight of data management activities, clinical systems, and external vendors, while building scalable processes and capabilities to support a growing clinical pipeline. The role partners closely with Clinical Development, Clinical Operations, Biostatistics, Translational Medicine, Regulatory Affairs, and external partners like CROs to ensure timely delivery of high quality, decision-read‑y‑ clinical data.</p>
<p>
This role will be an Individual Contributor and will lead a matrixed team of vendors (CROs) and contractors to start. This person will be responsible for building out a future team.</p>
<p>
This role will ideally be based in Seattle, WA or Louisville, CO but can be remote within the US. If remote, travel to Umoja Headquarters will be required at least once per quarter.</p>
<p><b>
CORE ACCOUNTABILITIES</b></p>
<p><b>
Specific Responsibilities include:</b><br>
<b>Hands‑On Clinical Data Management Execution (as needed while building CDM team)</b></p>
<ul>
<li>Serve as the primary clinical data management lead for assigned clinical trials, with direct accountability for data quality, timeliness, and inspection readiness from protocol development through database lock.</li>
<li>Perform detailed protocol review with a focus on data flow, endpoints, data collection strategy, and facilitation of downstream analysis requirements.</li>
<li>Lead hands-on CRF design and review, ensuring alignment with protocol objectives‑, statistical analysis plans, and regulatory expectations.</li>
<li>Develop, review, and approve data management plans (DMPs), database specifications, edit check specifications, data transfer agreements, and data review plans.</li>
<li>Actively participate in EDC system configuration and validation activities, including review of database builds, user acceptance testing (UAT), and system change control.</li>
<li>Perform ongoing hands-on data review, query trend analysis, and proactive data cleaning to ensure high-quality, analysis ready‑ datasets.</li>
</ul>
<p><b>Technical Oversight &amp; Data Quality</b></p>
<ul>
<li>Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk based‑monitoring approaches for clinical data.</li>
<li>Lead hands-on‑oversight of external CROs and vendors delivering data management services, including detailed review of deliverables, issue resolution, and escalation management.</li>
<li>Directly review and contribute to data listings, data exports, and interim analysis datasets in partnership with Biostatistics and Statistical Programming.</li>
<li>Ensure clinical trial data is compliant with applicable regulatory requirements, including GCP, ICH, and CDISC standards.</li>
<li>Support inspection readiness activities by authoring, reviewing, and maintaining data management documentation and responding directly to audit and inspection findings.</li>
</ul>
<p><b>Cross Functional Collaboration</b></p>
<ul>
<li>Partner closely with Clinical Operations to align data management activities with study execution, site operations, monitoring strategies, and operational reporting needs.</li>
<li>Collaborate with Biostatistics and Statistical Programming to ensure smooth handoff of clean, well documented- datasets for analysis and reporting.</li>
<li>Provide technical data management expertise to Regulatory Affairs in support of clinical study reports, INDs, BLAs, and other regulatory submissions.</li>
<li>Serve as the clinical data management subject matter‑ expert on study teams, governance forums, and internal reviews.</li>
</ul>
<p><b>Process &amp; Systems Ownership</b></p>
<ul>
<li>Own and continuously improve clinical data management processes, tools, and SOPs to support efficient execution in a growing organization.</li>
<li>Evaluate, implement, and optimize clinical data systems and technologies (e.g., EDC, IRT, eCOA) to enhance data quality, traceability, and scalability.</li>
<li>Contribute hands‑on to vendor selection, scope definition, and budgeting for data management services and systems.</li>
</ul>
<p><b>The successful candidate will have:</b></p>
<ul>
<li>Bachelor's degree or higher in life sciences, health informatics, computer science, or a related discipline with a minimum of 15 years of experience. Equivalent combinations of education and experience will be considered.</li>
<li>Significant experience in clinical data management within the biotechnology or pharmaceutical industry, including 8+ years of leadership of data management functions for clinical trials.</li>
<li>Demonstrated experience overseeing CROs and external vendors delivering clinical data management services.</li>
<li>Strong working knowledge of clinical trial processes, EDC systems, data standards, and regulatory expectations for clinical data.</li>
<li>Proven ability to lead teams, manage complex programs, and collaborate effectively in a fast‑paced, matrixed environment.</li>
<li>Excellent written and verbal communication skills.</li>
</ul>
<p><b>Preferred Qualifications</b>:</p>
<ul>
<li>Experience supporting oncology and/or cell or gene therapy clinical development programs.</li>
<li>Experience building or scaling clinical data management capabilities in a growing biotech organization.</li>
<li>Prior involvement in regulatory submissions and inspection readiness activities.</li>
</ul>
<p><b>Physical Requirements</b></p>
<ul>
<li>Preference to work onsite at least 2 days/week in our Seattle, WA or Louisville, CO location. If remote, the ability to travel to Seattle, WA at least once per quarter.</li>
<li>Ability to sit for prolonged periods of time.</li>
</ul>
<p><b>Salary Range: $247,400 - $305,600</b></p><div><h4 class="jobSectionHeader"><b>
Benefits Offerings</b></h4>
<p><i>
Umoja Biopharma offers its employees competitive Medical, Dental, and Vision plans. Additionally, we offer Umojians access to a 401k plan through Fidelity, with a 100% match up to their first 4% deferral. Umoja also provides a generous Paid Time Off policy, employee commuter benefits, and cell phone stipend. For a full breakdown of our benefits offerings, please see the </i><b><i>Benefits</i></b><i> section of our website.</i></p></div></div>

Senior Director, Clinical Data Management

BCforward

<div>
 <p>
  <strong>
   BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role: AWS Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Duration: 6+ months
  </strong>
 </p>
 <p>
  <strong>
   Locations: Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Anticipated Start Date:
  </strong>
  04/13/2026
 </p>
 <p>
  <strong>
   Job Type:
  </strong>
  Contract &ndash; Onsite
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills:
  </strong>
  AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain data pipelines and AWS infrastructure
  </li>
  <li>
   Work with Redshift for data warehousing and querying
  </li>
  <li>
   Use Glue, Athena, and Lambda for data processing and automation
  </li>
  <li>
   Support cloud deployments, monitoring, and troubleshooting
  </li>
  <li>
   Ensure security and compliance standards are followed
  </li>
  <li>
   Assist in migrating data and applications to AWS
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About BCforward:
  </strong>
 </p>
 <p>
  Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 </p>
 <p>
  fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 </p>
 <p>
  unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 </p>
 <p>
  Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 </p>
 <p>
  Consultants support more than 225 clients globally.
 </p>
 <p>
  BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 </p>
 <p>
  With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 </p>
 <p>
  achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 </p>
 <p>
  become a market leader and best in class place to work.
 </p>
 <p>
  BCforward 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, or protected veteran status and will not be discriminated against based on disability.
 </p>
 <p>
  To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 </p>
 <p>
  This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 </p>
</div>


AWS Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> 15+ years of experience working as technical program manager envisioning, road mapping, story lining, and implementation in an agile environment
</li></ul><ul><li> 5+ Years of experience working on Data and Analytics projects as a program manager specializing in Databases, Data Warehouses
</li></ul><ul><li> Experience with user research, rapid prototyping, value proposition definition, design thinking, and analytics
</li></ul><ul><li> Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments
</li></ul><ul><li> Demonstrated ability to establish working relationships with technology &amp; business partners and cross teams
</li></ul><ul><li> Excellent communication, stakeholder management, and conflict resolution skills.</li></ul><br>
<div><br>
</div><div>Preferred Qualifications:
</div><ul><li> Bachelor&rsquo;s degree or higher
</li></ul><ul><li> PMP, CSM, or SAFe certification or similar
</li></ul><ul><li> 2+ Years of experience working on Data Science and AI projects
</li></ul><ul><li> Exposure to tools like JIRA, Confluence, Power BI, Tableau, or similar</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Lead end-to-end delivery of enterprise-scale analytics projects, ensuring alignment with business goals and technical standards.
</li></ul><ul><li> Translates customer needs into well-specified user stories, enabling pod-based software developers to build solutions
</li></ul><ul><li> Develops and maintains comprehensive plans and roadmaps, ensuring that features are delivered on time and within scope, and that they add business value
</li></ul><ul><li> Drive end-to-end development, from inception to production and maintenance; improves through iterative sprints to fulfil vision and end user needs by incorporating feedback from end users
</li></ul><ul><li> Collaborate with data architects, engineers, analysts, and business stakeholders to define project requirements and success metrics.
</li></ul><ul><li> Possesses a deep understanding of the technology stack (or ability, willingness, and understanding to learn technology stack) and impact on final product.
</li></ul><ul><li> Provide regular updates to executive leadership and stakeholders through dashboards, reports, and presentations.
</li></ul><ul><li> Manage scope, timelines, budgets, and resources across programs
</li></ul><ul><li> Tracks and manages technical and non-technical risks</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Experience working on Agile projects and Agile methodology in general
</li></ul><ul><li> Ability to serve as empathetic &ldquo;voice of the customer,&rdquo; with strong communication skills
</li></ul><ul><li> Ability to communicate complex messages and trade-offs, and to tell compelling stories
</li></ul><ul><li> Problem-solving capability with ability to manage an d lead the team to drive solutions
</li></ul><ul><li> Strong collaborator, and team player</li></ul><br>
<div><br>
</div><div>Base Salary Range : $100,000 to $125,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Program Manager</div>
</div><div><div><b>Job Id</b></div>
<div>403107</div>
</div><div><div><b>Desired Skills</b></div>
<div>Program Management</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$125,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Technical Program Manager

MORSE Corp

<div>
 <p>
  MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding
  <span>
   cutting-edge
  </span>
  <span>
   technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE&rsquo;s AI &amp; ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE&rsquo;s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <span>
  Responsibilities:
 </span>
 <span>
  &nbsp;
 </span>
 <ul>
  <li>
   <span>
    Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.&nbsp;
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Use MLOps tools for efficient experiment tracking, data management, and reproducibility
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Write robust, efficient, and maintainable code
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
   </span>
   <span>
    &nbsp;
    <br/>
   </span>
  </li>
 </ul>
 <span>
  Skills and Requirements:
 </span>
 <span>
  &nbsp;
 </span>
 <ul>
  <li>
   <span>
    US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proven experience testing and validating the performance of AI technologies in real-world applications
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Proficiency in Python
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Experience with cloud platforms (AWS and Azure)
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Experience with Docker
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Exceptional communication skills and the ability to work well with customers
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <ul>
  <li>
   <span>
    Understanding of Department of Defense requirements and standards is a plus
   </span>
   <span>
    &nbsp;
   </span>
  </li>
 </ul>
 <p>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
  </span>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   &nbsp;
  </span>
 </p>
 <p>
  MORSE Corp&rsquo;s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an &ldquo;open&rdquo; leave policy that does not restrict exempt, regular full-time employees to a specific&nbsp;number of paid sick or vacation days. However, this policy is not an &ldquo;unlimited&rdquo; paid leave policy.&nbsp;
 </p>
 <p>
  Compensation: $90,000 USD - $210,000 USD
 </p>
 <p>
  The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
 </p>
 <p>
  <strong>
   &nbsp;
  </strong>
 </p>
</div>


Machine Learning Engineer

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