136 Data Science jobs in Baltimore
Data Science Director
Posted 15 days ago
Job Viewed
Job Description
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
Data Science Manager, GenAI, Strategic Analytics - Data Science
Posted 5 days ago
Job Viewed
Job Description
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.
Staff Data Science Engineer
Posted 3 days ago
Job Viewed
Job Description
CLEARANCE TYPE: SCI
TRAVEL: Yes, 10% of the Time
**Description**
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
The Northrop Grumman Mission Systems (NGMS) Advanced Processing Solutions Business pushes the boundaries of innovation, redefines the leading edge of exotic new technologies, and drives advances in the sciences. One of our most challenging new fields is Transformational Computing, which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems. Our team is chartered with providing the skills to transform computing beyond Moore's Law, advancing development of computer architectures, processing/memory subsystems, and large-scale high-performance computing systems. You'll work in a fast-paced team environment alongside a broad array of scientists and engineers to make these processing solutions a reality and deliver remarkable new advantages to the warfighter.
About this position: We are seeking a data scientist who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data.
**This position requires work on site located at Linthicum, MD and/or Annapolis Junction, MD as needed.**
Your responsibilities:
+ Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.
+ Interpret data, analyze results using statistical techniques and provide ongoing report to stakeholders of varying scientific fields.
+ Summarize and socialize data, make conclusions and provide direction on problems identified.
+ Effectively generate ideas and support building tools in order to automate analysis processes.
+ Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
+ Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
What you need to be successful in the role:
+ Comfort with requirements-analysis and stake-holder engagement.
+ Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
+ Solid communication skills (written, verbal, and visual)
+ Ability to communicate data and engineering analysis regarding conclusions that were reached.
+ Ability to create and present data reports to support investigations.
+ Excellent attention to detail.
+ Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
+ Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.
**Basic Qualifications for a Staff Data Scientist:**
+ Bachelor's degree in a technical area with 12 years of relevant experience (10 years with technical MS; 7 years with a PhD in a related field)
+ Knowledge of data gathering, cleansing and transformation techniques
+ Experience with common data science toolkits such as Python and Tableau
+ Experience using Python packages: pandas, numpy, matplotlib
+ Experience developing and presenting data visualizations for scientific analysis
+ Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements - must be US citizen
**Preferred Qualifications:**
+ Product Lifecycle experience
+ Proficient using query languages such as SQL
+ Experience mentoring and leading peers in data science projects
+ Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
+ JMP proficiency (SAS statistical tool) and experience scripting in JSL
+ MATLAB experience
+ Active TS/SCI clearance with poly
Salary Range: $179,600.00 - $269,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Staff Data Science Engineer
Posted 3 days ago
Job Viewed
Job Description
CLEARANCE TYPE: SCI
TRAVEL: Yes, 10% of the Time
**Description**
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
The Northrop Grumman Mission Systems (NGMS) Advanced Processing Solutions Business pushes the boundaries of innovation, redefines the leading edge of exotic new technologies, and drives advances in the sciences. One of our most challenging new fields is Transformational Computing, which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems. Our team is chartered with providing the skills to transform computing beyond Moore's Law, advancing development of computer architectures, processing/memory subsystems, and large-scale high-performance computing systems. You'll work in a fast-paced team environment alongside a broad array of scientists and engineers to make these processing solutions a reality and deliver remarkable new advantages to the warfighter.
About this position: We are seeking a data scientist who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data.
**This position requires work on site located at Linthicum, MD and/or Annapolis Junction, MD as needed.**
Your responsibilities:
+ Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.
+ Interpret data, analyze results using statistical techniques and provide ongoing report to stakeholders of varying scientific fields.
+ Summarize and socialize data, make conclusions and provide direction on problems identified.
+ Effectively generate ideas and support building tools in order to automate analysis processes.
+ Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
+ Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
What you need to be successful in the role:
+ Comfort with requirements-analysis and stake-holder engagement.
+ Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
+ Solid communication skills (written, verbal, and visual)
+ Ability to communicate data and engineering analysis regarding conclusions that were reached.
+ Ability to create and present data reports to support investigations.
+ Excellent attention to detail.
+ Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
+ Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.
**Basic Qualifications for a Staff Data Scientist:**
+ Bachelor's degree in a technical area with 12 years of relevant experience (10 years with technical MS; 7 years with a PhD in a related field)
+ Knowledge of data gathering, cleansing and transformation techniques
+ Experience with common data science toolkits such as Python and Tableau
+ Experience using Python packages: pandas, numpy, matplotlib
+ Experience developing and presenting data visualizations for scientific analysis
+ Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements - must be US citizen
**Preferred Qualifications:**
+ Product Lifecycle experience
+ Proficient using query languages such as SQL
+ Experience mentoring and leading peers in data science projects
+ Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
+ JMP proficiency (SAS statistical tool) and experience scripting in JSL
+ MATLAB experience
+ Active TS/SCI clearance with poly
Salary Range: $179,600.00 - $269,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Data Science Manager, Analytics
Posted 13 days ago
Job Viewed
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 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
Data Science Manager, Monetization
Posted 14 days ago
Job Viewed
Job Description
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
Operations Manager Data Science Insights
Posted 7 days ago
Job Viewed
Job Description
Job Description
Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.
This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.
Key Responsibilities:
- Drive Resource Planning and Optimize Resource Utilization:
- Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
- Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
- Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
- Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
- Manage Financial Forecasting and Performance:
- Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
- Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
- Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
- Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
- Drive Monthly Performance Reporting and Analysis:
- Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
- Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
- Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
- Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
- Drive Key Team Initiative Priorities:
- Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking
Qualifications:
Qualifications
- Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
- 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
- Proven expertise in resource planning, capacity management, and optimization strategies.
- Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
- Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
- Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
- Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
- Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
- Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.
Additional Information
At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:
- The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
- A culture that values innovation, continuous learning, and professional growth.
- A comprehensive benefits package and a commitment to work-life balance.
- The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.
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Operations Manager, Data Science & Insights
Posted 8 days ago
Job Viewed
Job Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit
Job Description
Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.
This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.
Key Responsibilities:
- Drive Resource Planning and Optimize Resource Utilization:
- Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
- Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
- Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
- Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
- Manage Financial Forecasting and Performance:
- Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
- Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
- Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
- Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
- Drive Monthly Performance Reporting and Analysis:
- Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
- Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
- Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
- Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
- Drive Key Team Initiative Priorities:
- Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking
- Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
- 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
- Proven expertise in resource planning, capacity management, and optimization strategies.
- Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
- Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
- Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
- Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
- Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
- Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.
At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:
- The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
- A culture that values innovation, continuous learning, and professional growth.
- A comprehensive benefits package and a commitment to work-life balance.
- The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.
Associate Director, Manufacturing Data Science
Posted 29 days ago
Job Viewed
Job Description
Site Name: USA - Maryland - Rockville Posted Date: May 30 2025 The Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant and productive while maintaining product quality. The site MSAT team is also responsible for delivering continuous improvements to the existing supply chains supported at the Rockville site and working with global MSAT implement process-related improvement programs across the product lifecycle. The Associate Director, Manufacturing Data Science serves as the site MSAT leader in the data and analytics space, supporting site initiatives and implementation of smart manufacturing principles in collaboration with the site digital and analytics teams and driving innovative solutions to complex technical problems. He or she will leada team of data scientists and engineers to facilitate delivery of product and process data solutions in biologics manufacturing environment. This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing. The role will be expected to support technical development of the MSAT organization, promoting technical and leadership capability to develop a high performing MSAT team and improving the data literacy and capability of the MSAT organization. This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following… Serve as the technical leader for data science and analytics capabilities for the MSAT team at Rockville Biopharm Accountable for the development and deployment of the strategic data and analytics plan for the Rockville MSAT Team, in collaboration with other site and central digital and analytics teams Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA Develops capability roadmaps for the newly formed Digital and Data Analytics Team Questions status quo and develop novel approaches to data mining Perform on a daily basis a wide array of biostatistical and data science techniques: multivariate analysis, machine learning and basics statistical analysis and visualization Drive innovation through leading continuous improvement for technical processes or systems and championing introduction of novel technologies, including new modeling platforms and approaches (first-principle modeling, CFD, machine learning), digital systems and visualizations, and process analytical technologies (PAT) Manages relationships with key internal (i.e. digital, data, analytics, production, engineering, quality) and external (i.e. central and external MSAT teams, tech, R&D) partners to deliver technical objectives and implementation of novel data and analytics platforms and technologies Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelors degree with 12+years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics OR MS or PhD with 10+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics In-depth experience with digital, data, and analytics techniques in the pharmaceutical industry Experience biopharmaceutical manufacturing (upstream / downstream) is required Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power) Experience of developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation Preferred Qualifications: If you have the following characteristics, it would be a plus: MS or Ph.D. in data/computer science or engineering, biological or chemical science or engineering or equivalent technical discipline Strong interpersonal and leadership skills to manage a technical team and cross-functional teams. Prior experience managing a team or matrix team preferred Strong verbal and written communication skills particularly in the area of technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture Demonstrates initiative to solve problems, effective at making and implementing decisions #LI-GSK The annual base salary for new hires in this position ranges from $136,125 to $226,875 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary t o learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at #J-18808-Ljbffr
Operations Manager Data Science Insights
Posted 1 day ago
Job Viewed
Job Description
Job Description
Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.
This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.
Key Responsibilities:
- Drive Resource Planning and Optimize Resource Utilization:
- Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
- Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
- Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
- Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
- Manage Financial Forecasting and Performance:
- Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
- Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
- Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
- Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
- Drive Monthly Performance Reporting and Analysis:
- Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
- Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
- Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
- Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
- Drive Key Team Initiative Priorities:
- Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking
Qualifications:
Qualifications
- Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
- 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
- Proven expertise in resource planning, capacity management, and optimization strategies.
- Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
- Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
- Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
- Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
- Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
- Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.
Additional Information
At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:
- The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
- A culture that values innovation, continuous learning, and professional growth.
- A comprehensive benefits package and a commitment to work-life balance.
- The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.
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