CrawlJobs Logo
Meta Logo Meta · IT - Software Development

Data Science Manager

Israel, Tel Aviv · Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

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 impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.

Job Responsibility

  • 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
  • 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
  • Influence product direction through clear and compelling presentations to leadership
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • 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

Requirements

  • Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
  • 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
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Experience initiating and completing analytical projects with minimal guidance
  • Experience communicating results of analysis to leadership

Nice to have

  • Proven track record of leading impact oriented analytics teams
  • Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
  • Experience working in technology, consulting, or finance
Meta - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Science Manager

8 matching positions

Data Science Manager

At Data Idols, we are working with a major UK retail and consumer brand undergoi...
Location
Location
United Kingdom , London
Salary
Salary:
100000.00 - 120000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Previous experience leading or managing Data Science teams in a commercial environment
  • Strong background in machine learning, advanced analytics, or statistical modelling
  • Strong stakeholder management skills with the ability to influence senior leadership
  • Experience delivering data science products and models into production environments
Job Responsibility
Job Responsibility
  • Lead both the technical direction and people development of the team
  • Shape the roadmap for how machine learning and advanced analytics are applied
  • Translate complex analytical outputs into clear, commercially focused recommendations
  • Establish best practices across experimentation, modelling, MLOps, and data science delivery
  • Support the long-term evolution of the organisation’s AI and data science capability
  • Balance strategic direction with hands-on technical oversight where needed
What we offer
What we offer
  • bonus
  • benefits
  • Fulltime
Read More
Arrow Right

Data Science Manager

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
244233.00 - 284900.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Requires Master's degree (or foreign degree equivalent) in Information Science, Data Science, Statistics, Business Administration, or related field
  • 2 years of experience in job offered or related occupation
  • 2 years of experience managing other team members in a formal or informal capacity
  • 2 years of experience in quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
  • 2 years of experience initiating and driving projects to completion with minimal guidance
  • 2 years of experience communicating and representing results of analysis to senior leadership
  • 2 years of experience communicating the results of analyses to leadership teams to influence the strategy
  • 2 years of experience in applied statistics or experimentation, including A/B testing, in an industry setting
Job Responsibility
Job Responsibility
  • Help build and lead a great data science team to deliver world-class products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions
  • Mine massive amounts of data and extract useful product insights
  • Build and maintain reports, dashboards, and metrics to monitor the performance of our products
  • Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Data Science Manager

We’re looking for a Data Science Manager (d/f/m) to lead our central Data Scienc...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
adevinta.com Logo
Adevinta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related)
  • 5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity
  • Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries
  • Advanced experience with Python and ML frameworks
  • Practical experience with GenAI technologies: Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
  • Amazon Bedrock for foundation model deployment
  • Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
  • Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments
  • Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics
  • Experience managing and coaching technical teams
Job Responsibility
Job Responsibility
  • Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools
  • Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business
  • Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure
  • Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock
  • Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI
  • Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery
  • GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows
  • Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines
  • Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications
What we offer
What we offer
  • Recharge with 28 days of paid time off
  • Stay mobile with a €50 monthly transportation/mobility allowance
  • Keep growing with a development budget and access to coaching
  • Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
  • Learn anytime, anywhere with our online and offline library
  • Get rewarded with an attractive base salary and participation in our annual incentive plans
  • Work from anywhere - up to 20 days per year from wherever you feel most productive
  • Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family
  • Fulltime
Read More
Arrow Right

Data Science Manager

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , New York
Salary
Salary:
289786.00 - 325270.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Mechatronic Engineering, Applied Sciences, Mathematics, Physics or related field
  • 3 years of work experience in job offered or in a computer-related occupation
  • 3 years of experience in Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
  • 3 years of experience in Working with SQL or other programming languages
  • 3 years of experience in Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
  • 3 years of experience in Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
  • 3 years of experience in Developing in scripting language: PHP, Python, or Perl
  • 3 years of experience in ETL (Extract, Transform, Load) processes
  • 3 years of experience in Communicating and presenting results of data analyses with product and leadership teams
  • 3 years of experience in Working with cross-functional teams to choose/create metrics and set metric goals
Job Responsibility
Job Responsibility
  • Help build and lead data science teams on projects to deliver world-class products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects
  • Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams
  • Leverage data to provide insights about user behavior and to inform business decisions based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms
  • Predict and understand user patterns through analytical and statistical metric analysis
  • Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights
  • Partner with Product and Engineering teams to solve data problems and identify trends and opportunities
  • Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis
  • Automate analyses and author data pipelines via ETL framework
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Data Science Manager

Design, build, and operationalize advanced analytics solutions by leveraging mod...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or Master’s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology or Data Analysis or equivalent work experience
  • Typically 12+ years of relevant experience
  • Master's degree or advanced degree in related field preferred
  • 5+ years of experience leading people and teams
  • Expertise in advanced data science and machine learning techniques (e.g., regression, neural networks, decision trees, clustering, text/NLP)
  • Proficiency with analytics and statistical tools such as Python, R, SAS, and SPSS
  • Strong experience with data integration and modeling tools (e.g., Informatica, Ab Initio, Talend)
  • Excellent communication and storytelling skills for technical and executive audiences
  • Solid programming skills in Python, SQL, R, SAS, Java, and Unix shell scripting
  • experience with Hadoop or distributed data platforms is a plus
Job Responsibility
Job Responsibility
  • Lead analytical strategy to inform product vision, roadmap, and customer experience improvements
  • Define and maintain core product metrics
  • build scalable measurement frameworks for rapid iteration
  • Translate complex data into clear insights and visual stories that influence product and executive decisions
  • Partner with Product, Engineering, and Design to identify opportunities, optimize experiences, and embed analytics into product workflows
  • Oversees delivery of high‑impact programs and initiatives that span advanced tactical execution and broad strategic objectives
  • Ensures teams are aligned to priorities, operating efficiently, and equipped with the clarity, resources, and technical direction required to achieve results
  • Builds and develops talent through proactive coaching, performance management, recruiting, and succession planning
  • Champions a culture of innovation, accountability, inclusion, and data‑driven decision‑making
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Data Science Manager

We’re looking for a Data Science Manager (d/f/m) to lead our central Data Scienc...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
adevinta.com Logo
Adevinta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related)
  • 5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity
  • Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries
  • Advanced experience with Python and ML frameworks
  • Practical experience with GenAI technologies: Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
  • Amazon Bedrock for foundation model deployment
  • Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
  • Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments
  • Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics
  • Experience managing and coaching technical teams
Job Responsibility
Job Responsibility
  • Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools
  • Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business
  • Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure
  • Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock
  • Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI
  • Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery
  • GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows
  • Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines
  • Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications
What we offer
What we offer
  • Recharge with 28 days of paid time off
  • Stay mobile with a €50 monthly transportation/mobility allowance
  • Keep growing with a development budget and access to coaching
  • Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
  • Learn anytime, anywhere with our online and offline library
  • Get rewarded with an attractive base salary and participation in our annual incentive plans
  • Work from anywhere - up to 20 days per year from wherever you feel most productive
  • Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family
  • Fulltime
Read More
Arrow Right

Data Science Manager

Integrated within the Data science department, you will jointly intervene on R&D...
Location
Location
France , Paris
Salary
Salary:
Not provided
artelys.com Logo
Artelys
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Holder of a top engineering school, a higher education institution, or/and a Ph.D. in applied statistics
  • At least 3 years of experience in designing, implementing, and deploying advanced Data Science methods in a company or as part of a thesis
  • At least 2 years of project or team management experience in Data Science
  • Skills in Python and/or R development
  • Motivated by project management and the responsibility of leading a team, managing a budget, and meeting deadlines
  • Can reconcile the client’s business vision, the Data Scientist’s technical vision, and the company’s economic vision
  • Autonomous, rigorous, and have a strong sense of listening and interpersonal skills
Job Responsibility
Job Responsibility
  • Lead project teams of 2 to 3 Data Scientists and/or Data Engineers and actively contribute to the realization of certain Data Science and AI missions requiring your expertise in certain technical domains
  • Evaluate the risks that may occur during implementation and set up project structures and management tools (dashboards, indicators, committee organization) to cover them
  • Define the needs in terms of human resources and technical skills necessary to meet deadlines, respect costs, and deliver a solution that meets client needs
  • Understand client data challenges (business, strategic) and take charge of pre-sales by bringing your expertise and relying on the sales teams
  • Mentor junior consultants in developing their skills by capitalizing on your experiences
What we offer
What we offer
  • Up to 2 days of remote work per week possible
  • Flexible working hours
  • Offices located in the city center of each city where we are located
  • Fulltime
Read More
Arrow Right

Manager, Data Science - AI for Data

Manager, Data Science - AI for Data. Data is at the center of everything we do. ...
Location
Location
United States , San Jose, California; McLean, Virginia; New York, New York
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  • Move fast in an environment with ambiguity at times, and with competing priorities and deadlines
  • Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
  • Fulltime
Read More
Arrow Right