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75 Data Science jobs in Seattle

Data Science Manager

98005 Bellevue, Washington Meta

Posted 11 days ago

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**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Science Director

98005 Bellevue, Washington Meta

Posted 11 days ago

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**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Science Manager, Payment Acceptance & Experience (PAE), Data Science

98194 Seattle, Washington Amazon

Posted 4 days ago

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Description
Lead a diverse team of data scientists and business intelligence engineers dedicated to delivering data-driven insights, predictive models, and intuitive dashboards that enhance our payment acceptance strategies and customer experience. We're looking for an inclusive leader who can foster innovation and create an environment where team members with different perspectives and backgrounds can thrive.
You'll lead a diverse team of data scientists and BI engineers focused on improving payment acceptance and customer experience. Partnering with global stakeholders, you'll deliver insights, models, and dashboards that drive key business goals. You'll guide technical strategy, influence decision-making, and create a team culture where innovation and inclusion thrive. Every day, you'll turn complex data into clear, actionable outcomes-helping shape the future of payments through collaboration and leadership.
Key job responsibilities
- Lead and mentor a collaborative team of data scientists and BI engineers, supporting their professional growth and fostering an inclusive team culture
- Partner with PAE stakeholders to develop analytical solutions, from interactive dashboards to advanced machine learning models
- Guide the development of marketing analytics solutions, customer segmentation, and targeted campaign optimization
- Ensure the delivery of clear, actionable insights through compelling data visualization and storytelling
- Champion data-driven decision making across the organization
- Build and maintain strong partnerships with cross-functional teams
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Payment Acceptance & Experience (PAE) Data Science team is at the forefront of transforming payments data into intelligent solutions that enhance customer experiences and operational efficiency. Our team combines advanced analytics, machine learning, and business intelligence to deliver actionable insights and innovative tools that support PAE's mission of building the most trusted and accessible payment experience globally.
Basic Qualifications
- 4+ years of building quantitative solutions as a scientist or science manager experience
- 4+ years of applying statistical models for large-scale application and building automated analytical systems experience
- 2+ years of scientists or machine learning engineers management experience
- Knowledge of Python or R or other scripting language
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Preferred Qualifications
- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Head of Data Science

98127 Seattle, Washington Confidential

Posted today

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Head of Data Science

About the Company

Innovative AI startup specializing in document redaction solutions

Industry
Information Technology and Services

Type
Privately Held

About the Role

The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.

Travel Percent
Less than 10%

Functions

  • Data Management/Analytics
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VP of Data Science

98127 Seattle, Washington Read AI

Posted today

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About Us: At Read AI we're redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they're in the same room or across time zones.

Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we'd love to meet you.

The Role:

We're looking for a strategic and hands-on VP of Data Scienceto lead Read AI's core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing team of data scientists, ML researchers, data engineers, and MLOps professionals focused on building and scaling our AI models, pipelines, and production infrastructure. You'll own the roadmap, execution, and quality of everything from research to deployment, helping shape the future of AI-powered productivity.
Responsibilities
  • Lead and grow a cross-functional data organization spanning research science, ML, and analytics.
  • Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high-performance culture.
  • Create clear development paths and career opportunities for a diverse and deeply technical team.
  • Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals.
  • Balance forward-looking research with delivering impactful, scalable product features.
  • Represent the data science org to executive stakeholders and help shape company-wide priorities.
  • Oversee the design and optimization of data infrastructure and real-time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing.
  • Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI.
  • Enable a flexible, high-velocity experimentation environment that empowers scientists and engineers to move quickly.
  • Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience.
  • Translate technical capabilities into product innovation and measurable business value.
  • Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions).
Qualifications:
  • 10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles.
  • Demonstrated success leading teams that built and deployed production AI at scale in real-world user-facing applications.
  • Hands-on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, TensorFlow, Hugging Face, LangChain).
  • Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow).
  • Proven ability to manage infrastructure as well as applied ML science.
  • Excellent communication skills, with the ability to influence both executive stakeholders and technical teams.
  • Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more
  • Experience with GenAI, Retrieval, ML or Recommendations.
  • Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred.
Why Read AI?
  • Innovative: We're set to bring AI to the masses by introducing technology designed to improve every interaction.
  • Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks and allowing them to focus on what matters the most.
  • Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is on pace to be one of the fastest growing consumer AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, and was noted as a Top Company To Watch in 2025 by Inc Magazine.
  • Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile from July 2025; CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI; and Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.
  • Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.

The annual base salary for this position ranges from $30,000 - 250,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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Data Science PhD Intern

98034 Bothell, Washington Docugami

Posted today

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Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.

You will love this job if:

  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup
What you'll be responsible for:
  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews
What we look for in a candidate:
  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence
Perks:
  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:

Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact.

Learn more at

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.
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VP of Data Science

98127 Seattle, Washington Read AI, Inc.

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About Us: At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones. Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we’d love to meet you. The Role: We’re looking for a strategic and hands-on VP of Data Scienceto lead Read AI’s core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing team of data scientists, ML researchers, data engineers, and MLOps professionals focused on building and scaling our AI models, pipelines, and production infrastructure. You’ll own the roadmap, execution, and quality of everything from research to deployment, helping shape the future of AI-powered productivity. Responsibilities Lead and grow a cross-functional data organization spanning research science, ML, and analytics. Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high-performance culture. Create clear development paths and career opportunities for a diverse and deeply technical team. Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals. Balance forward-looking research with delivering impactful, scalable product features. Represent the data science org to executive stakeholders and help shape company-wide priorities. Oversee the design and optimization of data infrastructure and real-time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing. Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI. Enable a flexible, high-velocity experimentation environment that empowers scientists and engineers to move quickly. Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience. Translate technical capabilities into product innovation and measurable business value. Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions). Qualifications: 10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles. Demonstrated success leading teams that built and deployed production AI at scale in real-world user-facing applications. Hands-on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, TensorFlow, Hugging Face, LangChain). Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow). Proven ability to manage infrastructure as well as applied ML science. Excellent communication skills, with the ability to influence both executive stakeholders and technical teams. Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more Experience with GenAI, Retrieval, ML or Recommendations. Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred. Why Read AI? Innovative: We're set to bring AI to the masses by introducing technology designed to improve every interaction. Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks and allowing them to focus on what matters the most. Growth Opportunities: Read AI is the fastest growing meeting notetaker in history, and is on pace to be one of the fastest growing consumer AI companies. Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team. The annual base salary for this position ranges from $30,000 - 250,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Create a Job Alert Interested in building your career at Read AI? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you willing to work in a Hybrid capacity and come into our office 3 core days a week? (T,W,TH) * LinkedIn Profile Website Will you now or in the future require visa support? * Select. #J-18808-Ljbffr

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Data Science Product Owner

98127 Seattle, Washington Jacobs

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StreetLight Data, the pioneer in Big Data for mobility, is revolutionizing transportation and urban planning to help the world better deploy infrastructure and adapt to new forms of mobility. From legacy systems to ride sharing and bike sharing to autonomous vehicles, our platform powers 6,000+ mobility projects every month for government and private clients, and we are just getting started?

At StreetLight, you will work in a collaborative, team-oriented environment alongside people who are passionate about making a positive impact on the future of transportation?

Your Impact:

StreetLight Data is seeking a dedicated Product Owner to drive the development of our data and metrics products. ?You will play a crucial role in defining the product vision, strategy and roadmap, working closely with Product Managers and collaborating with cross-functional teams, including Data Science/Data Engineering, Engineering, Marketing, and Sales. This role offers a unique opportunity to contribute to solving complex real-world problems in the transportation sector. Among other responsibilities, you will lead a technical team to build robust, complex infrastructure to reliably and efficiently deliver high-quality data, especially our mapping solutions. ?

Location: Remote within the US

Responsibilities:

  • Contribute to the product vision, strategy, and roadmap for data products, aligning with overall company objectives?

  • Translate customer needs into clear and actionable technical requirements for the Data Science team?

  • Manage product development, working collaboratively with the Data Science/Data Engineering team to ensure consistent, timely delivery of high-quality data products?

  • Plan and manage data science sprints, using Agile methodologies, including maintaining and prioritizing the product backlog?

  • Identify metrics dependencies, blockers, and product risks?

  • Act as a primary point of contact between technical teams and stakeholders, ensuring clear communication and alignment?

  • Work closely with customer-facing teams, including marketing, sales, and support, to facilitate product communication and ensure customer satisfaction?

  • 3+ years of experience in transportation, data science or data engineering

  • Bachelor's degree in a technical major

  • Exceptional project management skills and ability to align multiple stakeholders?

  • Proven ability to translate ambiguous customer needs to technical requirements?

  • Familiarity with basic data science and statistical concepts such as distributions, sample bias?, and machine learning

  • Excellent attention to detail?

  • Demonstrated clear and proactive communication, especially ability to explain complex technical concepts to less technical audiences?

  • Ability to balance multiple projects with competing demands in a fast-paced environment?

Preferred:

  • Expertise in geospatial data, mapping platforms or GIS software is a strong plus?

  • 3+ years of experience in a product management, technical product management, or technical program/project management role?

  • Experience working with big data using tools such as Google Cloud?

#LI- AK1

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.

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Data Science Manager, Analytics

98005 Bellevue, Washington Meta

Posted 3 days ago

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**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Science Manager, Monetization

98005 Bellevue, Washington Meta

Posted 4 days ago

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Job Description

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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