215 Data Science jobs in New Jersey
Data Science Director
Posted today
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 Analyst
Posted today
Job Viewed
Job Description
We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.
More information is available at Connect with NRG on Facebook, Instagram, LinkedIn and X.
This position will be involved in a diverse range of activities supporting NRG's Commercial Analytics functions. This position will be imbedded in the Structure and Fundamentals team and will focus on enhanced data driven solutions in support of team's activities. While our focus is for AI expertise, this role will support a much broader range of data science activities and provides meaningful exposure to and engagement in Commercial Analytics work product.
**Responsibilities:**
+ Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AI applications.
+ Develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights.
+ Implement solutions that improve efficiency of team activities.
+ Analyze and interpret complex data structures to derive meaningful business insights.
+ Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to integrate AI solutions into group workflows.
+ Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability.
+ Stay up to date with the latest advancements in AI, machine learning, and data science technologies.
+ Create data visualizations and dashboards to communicate findings to stakeholders effectively.
+ Document methodologies, processes, and findings to maintain transparency and reproducibility.
**We seek candidates with:**
+ Bachelor's degree, Master's degree preferred, in data science, computer science, quantitative finance, statistics, or mathematics
+ 3+ years of work experience in data analysis, machine learning, and AI applications
+ High level of proficiency in SQL and quantitative programming (Python, R, MATLAB). Experienced in dealing with large data sets.
+ Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
+ Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
+ Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
+ Strong communication skills. Ability to translate complex data into actionable insights.
+ The ability to manage multiple tasks independently and deadlines in a fast-paced environment.
+ Ability to proactively seek new ideas and solutions to improve the status quo.
+ Strong work ethic - reliable and accountable.
+ Ability to work cooperatively with all levels of staff as part of a team.
+ A commitment to the highest ethical standards and to act with professionalism and integrity.
**Preferred Qualifications:**
+ Experience with Natural Language Processing (NLP) or Computer Vision.
+ Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
+ Exposure to deep learning techniques and neural networks.
+ Understanding of MLOps principles and deployment of AI models in production environments.
The base salary range for this position is: $91,280 - $164,280* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.
NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.
EEO is the Law Poster (The poster can be found at description on file with Talent.
Data Science Director
Posted today
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
Associate Director, Data Science
Posted 6 days ago
Job Viewed
Job Description
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing. The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team will be a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data. You will leverageadvanced analytics and Generative AI (GenAI) to drive competitive intelligence, inform strategy and create actionable insights. You will use deep analytical skills to build a Center of Excellence focussed on bringing together different datasets for insights generation. You will be a strategic thinker joining a high profile, high visibility team that powers analytics and strategic thinking for Verizon. The Market and Network Intelligence team focuses on using competitive intelligence, network data and consumer data to enable decision making and drive insights into the business. You will lead a team that builds tools, analyses, and insights that informs, quantifies, and enables the visualization of data. Bring a consultative mindset to transform data into actionable insights to achieve business outcomes Automate data collection, cleansing, and integration processes using GenAI, enabling rapid and scalable intelligence gathering from structured and unstructured sources (e.g., news, social media, financial reports, customer feedback etc.). Build and maintain interactive dashboards, automated reports, and data visualizations to communicate findings clearly to executive leadership. Lead a strong internal data analytics team to support the business. Collaborate with cross-functional teams to translate analytics-driven insights into strategic business recommendations. Performing exploratory and targeted data analyses using descriptive statistics and other methods. Presenting results and recommendations to senior management and business users. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage What we’re looking for. You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll need to have: Bachelor’s degree or four or more years of relevant work experience Six or more years of relevant experience Demonstrated experience applying GenAI or advanced analytics tools in business Knowledge of forward-looking technologies and trends, including Generative AI (prompt engineering) Experience leading analytical teams Ability to present complex or technical topics in an engaging way Even better if you have one or more of the following: MBA and/or Master's of Engineering or technical field Understanding of telecom industry trends, competitive landscape and the role of AI in business strategy Prior experience at a top-tier consulting firm or in a strategy/analytics role at a major telecom company is highly desirable Experience with quantitative modeling, statistics, or data mining. Strong understanding of data science Experience with Alteryx or similar ETL/geospatial tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00. #J-18808-Ljbffr
Principal - Data Science (1202)
Posted 8 days ago
Job Viewed
Job Description
About Axtria
Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.
Role Summary
As a Data Science Leader, you will drive high-impact AI/ML strategy and delivery across commercial, medical, and clinical domains for top global pharma clients. This Executive-track role blends strategic client advisory, revenue generation, and team leadership. You’ll design and implement cutting-edge GenAI, predictive modeling, NLP, and experimentation pipelines using Axtria platforms—delivering measurable business impact and improved patient outcomes.
Key Responsibilities
Client & Delivery Leadership
-
Lead complex, high-value data science engagements across commercial and medical domains.
-
Architect GenAI, causal inference, NLP, and predictive models using Axtria’s platforms.
-
Solve critical problems across the stakeholder journey, e.g., GTM strategy, omnichannel orchestration, patient support.
-
Ensure delivery governance, scientific rigor, and business value realization.
Business Growth
-
Drive $1M+ in annual new revenue through client expansion, solution selling, and platform cross-sell.
-
Identify whitespace opportunities and influence go-to-market strategies in AI and data science.
Strategic Advisory & Thought Leadership
-
Serve as trusted advisor to VP/CXO-level stakeholders; shape AI/ML Data Science strategy and analytics transformation.
-
Lead workshops, develop industry points-of-view, and contribute to thought leadership through whitepapers, conferences, and publications.
-
Contribute reusable IP, agent libraries, and GenAI asset kits aligned with commercial, medical and clinical domains.
Team & Capability Building
-
Build, lead, and mentor global data science teams.
-
Attract and retain top talent while establishing learning agendas and knowledge assets.
-
Foster a culture of scientific excellence, reusability, and ethical AI.
Experience & Skills:
-
18+ years in data science, analytics, or AI consulting with a focus on life sciences or healthcare.
-
Deep domain expertise in commercial pharma analytics, RWE/HEOR, field force optimization, and patient-level data.
-
Advanced technical skills in GenAI (LLMs, RAG), causal modeling, NLP, and predictive modeling (Python, R, SQL).
-
Cloud deployment expertise (AWS, Azure, GCP), MLOps, and data governance experience.
-
Executive presence; proven ability to lead $1M+ client engagements and consultative sales cycles.
-
Strong leadership and mentoring track record with global delivery teams.
Education:
- Master’s or PhD in Data Science, Biostatistics, Computer Science, Epidemiology, Public Health, or related field.
Why Join Axtria
-
Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.
-
Career Growth: Entrepreneurial environment with strong leadership exposure and Partner-track potential.
-
Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.
-
Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.
Additional Details
-
Hybrid work model (3 days onsite) Berkeley Heights, NJ or client.
-
Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.
Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.
#LI-MHT1
Powered by JazzHR
VP of Data Science
Posted 10 days ago
Job Viewed
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Data Science Job Title: VP of Data Science Location: East Hanover, NJ Duration: 11 Months Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Minimum Required Skills: Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining What You Will Be Doing: A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies. Mentor a team of data scientists and contribute to the bottom line, taking advantage of a robust data environment that adds more than 100,000 records each day. Complement our process with a deep understanding of both statistical and machine learning technologies. Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods. Focus on the bottom line and work efficiently from a business strategy perspective. Own your own projects, while managing multiple projects in parallel by working closely with a team of data scientists. Develop strategic partnerships and manage relationships with third-party consultants, data vendors, software providers to facilitate constant innovation and improvement. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr
Data Science Manager, Monetization
Posted today
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. 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
11. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
12. Proven track record of leading high-performing analytics teams
13. Experience communicating both in low-level technical details as well as high-level strategies
14. Track-record driving product roadmap and execution
15. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
16. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
17. A minimum of 2 years of experience working on consumer-facing products
18. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
19. 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
Be The First To Know
About the latest Data science Jobs in New Jersey !
Senior Director - Data Science
Posted today
Job Viewed
Job Description
The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a life-changing career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?
The Position
This role reports directly to the Vice President of Enterprise Data & Advanced Analytics (ED&AA) and serves as a key member of the Novo Nordisk US Operations (USO) AI Center of Excellence. The individual will lead and manage a team of data scientists, including AI/ML experts and statisticians, and is tasked with developing cutting-edge advanced analytics and AI solutions to deliver business insights and help drive business execution effectiveness and efficiency across the enterprise. Aside from delivering analytical insights, they will also collaborate with the rest of the AI CoE and provide input for the vision and direction of AI product deployment and governance to ensure responsible and efficient application of AI technologies.
To help drive the Center of Excellence's mission, this role will manage, mentor, and expand a high-performing organization that:
+ Attracts and cultivates essential skills needed for data science and AI, ensuring the team remains at the forefront of industry advancements.
+ Accelerates innovation by harnessing a diverse range of advanced analytics/AI methodologies and technologies to deliver actionable insights and propel data-driven decision-making.
+ Promotes a culture of creativity and risk-taking, alongside developing processes that encourage experimentation and innovative thinking.
Relationships
The role interacts with various levels of leadership within Novo Nordisk US Operations, serving as a key advisor to the leadership teams and all levels of the business regarding advanced analytics and AI development & consumption. This leader and their team work closely with various business functions across the Novo Nordisk US Operations, including but not limited to - Commercial, Patient Services, CMR (Clinical, Medical, Regulatory), Finance, and Novo Nordisk global colleagues, to deliver data-driven insights and transformative business value. They collaborate extensively within the Enterprise Data & Advanced Analytics (ED&AA) department, as well as with Enterprise Insights, IT, and other teams to deliver and scale innovative solutions that leverage Data Science and AI capabilities. Externally, this role interacts with and manages various vendors.
Essential Functions:
Leadership and Management
+ Strong business acumen; trusted advisor on Advanced Analytics/AI to Novo Nordisk US Operations business teams.
+ Skilled communicator and collaborator with influence across functions.
+ Active contributor to ED&AA leadership-shaping strategy, culture, and vision.
+ Build and evolve the Data Science team to meet internal and market needs.
+ Lead a high-performing, collaborative team environment.
+ Core member of the AI Center of Excellence, guiding AI initiatives.
Analysis and Insights
+ Expand AI/ML capabilities by hiring and developing top talent.
+ Foster a culture of innovation and excellence for analytics professionals.
+ Oversee competency models, career paths, onboarding, training, and rotations.
+ Demonstrate analytics' value in solving complex business challenges.
+ Engage senior leaders to drive strategic analytics transformations.
+ Partner with Data Strategy, AI Engineering, and IT teams to ensure a strong data and technology foundation.
+ Lead opportunity analyses and business case development using advanced modeling.
Physical Requirements: 10-20% overnight travel required
Development Of People:
+ Ensure all direct reports have Individual Development Plans (IDPs) with annual goals aligned to business priorities, including interim reviews to maintain focus and accountability.
+ Confirm IDPs include completed learning and aspiration plans to support goal achievement and readiness for greater responsibility.
+ Communicate and enforce all Novo Nordisk policies, procedures, and the Novo Nordisk Way.
Qualifications:
+ Master's or Ph.D. degree in a quantitative field (such as Mathematics, Statistics, Economics or Computer Science) with 15+ years of relevant experience.
+ 10+ years leading analytics teams, especially in high-impact advanced analytics.
+ Deep understanding of pharma/life sciences/healthcare analytics and applications of AI.
+ Proven track record in developing advanced analytics/AI solutions to deliver measurable business outcomes in pharma/life sciences/healthcare industry.
+ Skilled in mentoring, team development, and cross-functional leadership.
+ Proven success in applying advanced analytics and AI to drive business decisions, especially in the areas of patient analytics, HCP engagement, and commercial campaign effectiveness measurement.
+ Deep knowledge of AI/ML, Deep Learning, Generative AI (LLMs), econometrics and statistical modeling.
+ Proficiency in healthcare Real-World Data (RWD), especially patient-level data.
+ Experience with MLOps and ModelOps; familiar with software engineering principles.
+ Strong analytical skills for large, complex datasets.
+ Experienced in managing multiple teams and workstreams with strategic alignment.
+ Effective in fast-paced environments with a focus on quality and documentation.
+ Skilled in change management and guiding teams through transitions.
+ Excellent communication and cross-functional collaboration skills with clear ability to impact and influence without authority
+ Excellent at presenting complex analytics to senior stakeholders.
+ Creative problem-solver with a track record of process improvement.
The base compensation range for this position is $ 181,670 to $ 317,920. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance.
Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.
Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we're life changing.
Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1- . This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Data Science Manager, CPG
Posted today
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelez International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
**About Mondelez International**
At Mondelez International, we're not just making snacks; we're crafting moments of joy for billions of people around the world. As the Manager of Data Science on our Insights & Analytics team, you'll be at the heart of this mission, shaping our data strategy and driving smarter decisions that fuel our global success.
Mondelez International empowers people to snack right in over 150 countries around the world. With iconic global and local brands such as Oreo, BelVita, LU, Cadbury Dairy Milk, Milka and Toblerone we've been making delicious moments for people for over 100 years. We're a diverse community of passionate people, united by a shared purpose: to empower people to snack right.
**Make It Possible.** In this role, you will create value and support decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze CPG data and generate insights. You will help develop the data science roadmap for the business.
**_This role will be 1-2 days in East Hanover office, 3 days remote._**
**How you will contribute**
+ **Drive Impactful Analytics:** Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. You will manage functional analytics methods, techniques, and capabilities to enable the function to analyze data, generate insights, create value, and drive decision making while you measure the progress of initiatives and market successes to the organization.
+ **Strategic Roadmap Development** Help elevate the data science roadmap for the business, aligning with key strategic priorities and driving long-term growth.
+ **Data Assessment and Acquisition** Assess business problems and determine the best internal and external data sources to use or acquire. Identify and establish the veracity of external sources of information relevant to operational needs.
+ **Advanced Data Analysis** Apply your expertise in analyzing data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). Develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision-making.
+ Apply your expertise in analysis of data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making.
+ Understand the identification, validation and exploitation of internal and external data sets generated from a diverse range of functional processes and in general you will be an expert in functional data and data sets.
+ Recruit talent and build teams with the right mix of skills to staff projects.
**What you will bring**
+ A desire to drive your future and accelerate your career. You will bring experience and knowledge in CPG and Data Science
+ Working experience in a quantitative discipline and data science.
+ Strong quantitative background in statistics and linear algebra as well as programming knowledge.
+ Knowledgeable in classification techniques, machine learning and EDA
+ Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases.
+ Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions.
+ Interfacing with high-level stakeholders (SVPs and more).
**More about this role**
**Required Experience:**
+ 6+ years of experience with at least 2-3 years in the CPG domain
+ Strong Applied Knowledge of analytical techniques in statistical modelling, machine learning with exposure to CPG related modeling techniques like Price & Promotion, Marketing Mix, Testing and custom in-store analytics
+ In depth knowledge of CPG business acumen and processes is preferred
+ Expertise within syndicated data platforms (NielsenIQ, Circana (IRI), Numerator, etc.) across POS and Shopper Panels
+ Possesses strong conceptual and analytical skills with the ability to analyze large datasets and make actionable recommendations
+ Technologically savvy with advanced Microsoft Excel, PowerBI and Tableau knowledge
+ Excellent communication skills and able to drive effective discussions. Experience managing and influencing stakeholders, key customers and cross functional partners
+ Ability to lead strategic projects and comfortable dealing with ambiguity
+ Experience building code in any of SAS Base, R, Python, SQL, Alteryx etc.
+ Experience on working with FMCG, Food & Beverages, Retail, or similar industry data with understanding the business process is crucial.
+ Should be able to articulate data science outcome into business understandable language.
+ Fluent English, other European languages would be an advantage.
**Required Education:**
+ Bachelor's degree required.
+ Master's degree preferred in areas such as Mathematics, Statistics, and Business Analytics.
**Travel:**
+ Travel up to 10%
**Compensation:**
The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays, and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
**Business Unit Summary**
The United States is the largest market in the Mondelez International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Science Manager, Monetization
Posted today
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. 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
11. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
12. Proven track record of leading high-performing analytics teams
13. Experience communicating both in low-level technical details as well as high-level strategies
14. Track-record driving product roadmap and execution
15. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
16. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
17. A minimum of 2 years of experience working on consumer-facing products
18. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
19. 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