700 Data Science jobs in New York

**Location:**
Remote, United States
**Employment Type:**
FullTime
**Location Type:**
Remote
**Department**
Finance & Operations, Business Technology, Data, & Operations
**Compensation:**
$292.5K - $351K
_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here ( _._
**Overview**
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
**About the Role:**
The Data Science Team is at the heart of our company, building the central nervous system that drives better and faster decisions through data and predictive models. We are seeking an inspirational leader to guide a team of highly skilled data scientists in creating advanced forecasting models and predictive solutions using state of the art ML infrastructure.
We need a hands-on independent leader with expertise in various time series techniques and supervised and unsupervised modeling. This role also requires a strong advocate for MLOps to ensure team productivity and efficiency, along with a deep understanding of open-source libraries like MLFlow and Hydra to build scalable models with best practices.
If you are a visionary with a passion for ML and a knack for fostering innovation, we want to chat with you. The journey will be rewarding in every sense. Join us and make an impact!
**What You Will Do:**
+ Leadership and Team Management:
+ Lead and mentor a team of highly skilled data scientists, fostering a collaborative and innovative environment.
+ Develop and execute a strategic vision for the ML Data Science team, aligning with company goals.
+ Ensure the team delivers high-quality predictive models and forecasting solutions that drive business value.
+ Stakeholder Collaboration and Communication:
+ Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
+ Communicate complex technical concepts and results to non-technical stakeholders in a clear and actionable manner.
+ Time Series Forecasting:
+ Utilize statistical time series methodologies such as ARIMA and SARIMA, advanced forecasting strategies with deep learning, transformers, and LLMs to develop precise and scalable forecasting models.
+ Decompose time series data into trend, seasonality, baseline, and error components to improve forecast accuracy.
+ Experiment with and implement novel approaches to enhance forecasting performance.
+ Supervised, Unsupervised, and Deep Learning Modelling:
+ Apply unsupervised learning techniques for customer segmentation and insights.
+ Build supervised learning models for classification tasks such as NBA, churn prediction, and cross-sell opportunities.
+ Develop and deploy deep learning models to solve complex business problems and enhance predictive accuracy.
+ MLOps and Best Practices:
+ Implement MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Utilize open-source libraries such as MLFlow and Hydra to ensure scalable and reproducible model development.
+ Advocate for and enforce best practices in data science and machine learning workflows.
+ Continuous Learning and Innovation:
+ Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI.
+ Encourage continuous learning and development within the broader data team, fostering a culture of innovation.
**What You Will Bring:**
+ Advanced degree in Computer Science, Engineering, Statistics, or a related technical field.
+ 10+ years of industry experience in Data Science, preferably in companies with a strong data-driven culture.
+ 5+ years of experience leading and mentoring Data Science teams, collaborating with Data Engineering, enterprise systems, and Business Unit embedded operations teams.
+ Proven leadership in developing and executing strategic visions for ML Data Science teams aligned with company goals.
+ Proficiency in Python and data science libraries such as tensorflow, scikit-learn, pandas, NumPy, etc., for model development, evaluation, and deployment.
+ Ability to ensure the delivery of high-quality predictive models and forecasting solutions that drive business value.
+ Expertise in statistical time series methodologies such as ARIMA, SARIMA, and advanced forecasting strategies using deep learning, transformers, and LLMs.
+ Proficiency in supervised, unsupervised, and deep learning techniques for customer segmentation, classification tasks (e.g., NBA, churn prediction), and complex business problem-solving.
+ Experience implementing MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Strong communication and presentation skills to collaborate with cross-functional teams, translate business needs into data science projects, and communicate technical concepts to non-technical stakeholders effectively.
**What Gives You an Edge:**
+ Experience with GCP Vertex AI ML platform or similar platforms for model development, deployment, and management.
+ Experience implementing MLOps best practices to streamline end to end model building.
+ Experience in effectively driving measurable business outcomes using advanced modeling techniques
**Ready to build what's next? Let's get in motion.**
**Come As You Are**
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Science Manager Responsibilities:
1. Help build and lead data science teams on projects to deliver world-class products.
2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
3. Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects.
4. 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.
5. 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.
6. Predict and understand user patterns through analytical and statistical metric analysis.
7. Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights.
8. Partner with Product and Engineering teams to solve data problems and identify trends and opportunities.
9. Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis.
10. Automate analyses and author data pipelines via ETL framework.
11. Develop strong business partnerships with the Online Ops, Product, and Engineering teams by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.
12. Build key statistical data sets to empower operational and exploratory analysis, and automate analyses.
13. Track current incoming volumes and trends in order to create forecasting models for operational insights.
14. Assist in designing hypothesis testing experiments, analyze data collected and present results.
15. Conduct ad hoc data analysis based on current team needs.
16. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities.
17. Train team members on the use of reporting tools and lead data-driven business case solving courses.
**Minimum Qualifications:**
Minimum Qualifications:
18. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Mechatronic Engineering, Applied Sciences, Mathematics, Physics or related field and 3 years of work experience in job offered or in a computer-related occupation
19. Requires 3 years of experience in the following:
20. 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
21. 2. Working with SQL or other programming languages
22. 3. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
23. 4. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
24. 5. Developing in scripting language: PHP, Python, or Perl
25. 6. ETL (Extract, Transform, Load) processes
26. 7. Communicating and presenting results of data analyses with product and leadership teams
27. 8. Working with cross-functional teams to choose/create metrics and set metric goals
28. and 9. Mentoring junior team members and contributing to organizational development
**Public Compensation:**
$289,786/year to $325,270/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

**Description**
American Express Company seeks Directors, Data Science to lead a team responsible for developing, implementing, and tracking AI/ML models for driving digital personalization in prospect marketing, automating data capability and model governance. Drive the next generation of innovations in marketing predictive models with a focus on researching and developing newer and better models using best in class big data and machine learning solutions. Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment. Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer's online and mobile app experiences. Work with product owners to revolutionize the product and content design with a data-driven approach. Collaborate with tech partners to test, implement, deploy and ensure accurate and efficient implementation of modeling solutions to production system. Leverage the power of closed loop through Amex network by collaborating with cross-functional teams to make decisions more intelligent and relevant. Oversee model governance and ensure model adhere to regulatory frameworks standards.
Position requires a Master's degree in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience developing and implementing predictive models for prospect personalization marketing using large datasets in the financial services industry. Experience must include 2 years of experience with: leveraging sophisticated analytical and machine learning techniques; applying marketing data science and machine learning within the financial industry; developing and managing the lifecycle of predictive models for marketing, from research and design to implementation, performance monitoring, and retraining; statistical and data mining techniques, including predictive analytics, deep learning, and boosting; framing complex business problems into mathematical programming problems to engineer solutions and deliver business insights; providing senior leadership with data-driven insights to inform critical business decisions; analytical languages, including Python and Spark; databases, including Hive, Hadoop, and SQL; model validation and model risk management with governance, compliance and auditing in a regulated finance industry; and cloud platforms, including AWS and Google Cloud. Telecommuting is available up to 2 days per week.
Job Location: New York, NY
**Qualifications**
Salary Range: $150,000.00 to $225,000.00 annually
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
* Competitive base salaries
* Bonus incentives
* 6% Company Match on retirement savings plan
* Free financial coaching and financial well-being support
* Comprehensive medical, dental, vision, life insurance, and disability benefits
* 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
* Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
* Free and confidential counseling support through our Healthy Minds program
* Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status
protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the
California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express
will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
US Job Seekers - Click to view the " Know Your Rights " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider a number of job-related factors, including experience and location.
**#LI-DNI**
**Job:** Technologies
**Primary Location:** US-New York-New York
**Schedule** Full-time
**Req ID:** 25011243

**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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Science Manager Responsibilities:
1. Perform technical data science duties and oversee a team of Data Scientists.
2. Serve as an analytics leader to work on Meta's core social media products and drive informed business decisions.
3. Oversee the work of Data Scientists as they perform quantitative analysis and data mining.
4. Work with one of the richest data sets in the world and cutting edge technology.
5. Use analytics to drive the understanding, progression, and user engagement of a product.
6. Build and maintain reports, dashboards, and metrics to monitor the performance of products.
7. Present statistical data to management in order to inform, influence, and execute Meta's product decisions.
8. Drive data science efforts, communicate cross-functionally, and be a subject matter expert.
9. Partner with Product and Engineering leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.
10. Lead Data Scientists as they mine massive amounts of statistical data and extract useful product insights.
11. Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product launches.
12. Inform, influence, support and execute our product decisions.
13. Support organizational efforts to screen and recruit members to the data science team.
14. Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team.
15. Create road maps and prioritize work to optimize the impact of the data science team.
16. Develop and communicate clear requirements and goals for team members.
17. Provide timely and actionable feedback on performance to team members.
18. Support the individual and career growth of team members to minimize attrition and maximize impact.
19. Help promote an unbiased and rewarding work environment by fairly and accurately recognizing high impact team members.
**Minimum Qualifications:**
Minimum Qualifications:
20. Employer will accept a Bachelors' degree (or foreign equivalent) in Computer Science, Software Engineering, Applied Sciences, Statistics, Mathematics, or related field, and 36 months of work experience in the job offered or in a data science or computer-related occupation
21. Experience must include 36 months of experience in the following:
22. 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
23. 2. Data analysis and algorithm development
24. 3. Optimization, probability, statistics, or machine learning
25. 4. Large data stores
26. 5. ETL (Extract, Transform, Load) processes
27. 6. Relational databases and SQL
28. 7. Development in PHP, Python or Perl
29. 8. Large data sets
30. 9. Large scale data processing infrastructure using distributed systems (Hadoop, Hive, MapReduce, Teradata, or MPI)
31. 10. Statistical analysis packages such as: R, MATLAB, SPSS, SAS or Stata
32. 11. Technical presentation skills
33. 12. Working with cross-functional teams to choose/create metrics and set metric goals
34. 13. Mentoring junior team members and contributing to organizational development
**Public Compensation:**
$289,786/year to $325,270/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

**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

**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

**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

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on August 11, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.