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Director Data Science Jobs in Basking Ridge, NJ (NOW HIRING)

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy. They act as a day-to-day contributor on specific client teams and focus on the generation of ...

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy. They act as a day-to-day contributor on specific client teams and focus on the generation of ...

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Director Data Science information

See Basking Ridge, NJ salary details

$55.6K

$159.6K

$251.5K

How much do director data science jobs pay per year?

As of Jul 18, 2026, the average yearly pay for director data science in Basking Ridge, NJ is $159,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $195,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What does a data science director do?

A data science director oversees the data science team, develops strategic data initiatives, and ensures the effective use of data analytics to support business goals. They often manage projects, collaborate with other departments, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership and communication skills are essential for guiding teams and translating complex data insights into actionable strategies.

Can data scientists make $300k?

Data scientists, especially those in senior or specialized roles at large companies or in high-cost-of-living areas, can earn $300,000 or more annually. Achieving this level often requires extensive experience, advanced skills in machine learning and programming, and sometimes leadership responsibilities or equity compensation.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize variables, focus on impactful data, and optimize models efficiently.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What is the highest paid job in data science?

The highest paid roles in data science are typically senior positions such as Chief Data Officer or Director of Data Science, with salaries often exceeding $200,000 annually. These roles require extensive experience, advanced skills in machine learning, and leadership capabilities, often complemented by advanced degrees and certifications.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What cities near Basking Ridge, NJ are hiring for Director Data Science jobs? Cities near Basking Ridge, NJ with the most Director Data Science job openings:

$64K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Company Description

Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world's most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry's start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media's powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we "Bring HEAT to Brands." No other agency possesses the expertise that we do to address today's most pressing challenges to drive business transformation through media.

Job Description

The Associate Director of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with large individual- and transaction-level datasets to design and deliver best-in-class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency. The data scientist must be able to translate across technical and non-technical stakeholders in both directions: from client requirements to innovative data science solutions, and from quantitative results to business-relevant, actionable insights.  

Responsibilities
  • Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions 

  • Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD 

  • Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation 

  • Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc. 

  • Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards 

  • Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement 

  • Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization 

  • Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects 

  • Document and share optimized, reusable code with data science colleagues using Git 

  • Continuously innovate, staying current with the latest technological developments and applying them to current workflows 

  • Independently set, communicate, and deliver against realistic expectations and timelines 

  • Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement 

  • Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges 

Qualifications
  • 4+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred 

  • Advanced degree in Statistics, Data Science, or other quantitative fields preferred 

  • Deep theoretical and practical understanding of statistical/ML techniques and experimental design 

  • Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus 

  • Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development 

  • Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift 

  • Experience building agentic workflows and integrating AI solutions into existing data and tech stacks 

Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $112,290.00 - USD $179,712.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/7/2026.Employment Type: FULL_TIME