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

Associate Director, Data Science

Basking Ridge, NJ ยท On-site

$60K - $61K/yr

Direct the team toward high-ROI business problems. Elevate data science from standard "predictive modeling" to Decision Intelligence, ensuring technical outputs are directly translated into ...

We are seeking a world-class Director of Data Science & Analytics to be the analytical engine behind Firefly's creator growth strategy within the Creator org. You will work at the intersection of AI ...

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Director Data Science information

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$55.6K

$159.6K

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How much do director data science jobs pay per year?

As of Jun 11, 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.

Is 40 too late for data science?

For a Data Science Director role, age is not a barrier; many professionals transition into data science or advance to leadership roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis, regardless of age.

How much does a director of data science make in the US?

A director of data science in the US typically earns between $130,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, and the role usually requires advanced skills in machine learning, data analysis, and leadership.

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 often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and leadership responsibilities.

What does a director of data science do?

A director of data science oversees data science teams, develops strategic plans for data analysis, and ensures the implementation of data-driven solutions to support business goals. They often manage projects involving machine learning, statistical modeling, and data infrastructure, requiring strong leadership and technical skills. The role typically involves collaboration with other departments and may require experience with tools like Python, R, and cloud platforms.

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 are the most commonly searched types of Data Science jobs in Basking Ridge, NJ? The most popular types of Data Science jobs in Basking Ridge, NJ are:
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:

Associate Director, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY โ€ข On-site

$64K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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.
Overview
The Data Scientist Associate Director is responsible for advanced audience development and technology enablement. This role requires deep expertise in data science methodologies, client management, and cross-functional collaboration to deliver high-value insights and business impact. Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.
Responsibilities
  • Guide the clients in clean room strategy and enable the use of this futureproofed technology
  • Create and oversee propensity model development using machine learning for net new and refresh of existing audiences
  • QA and troubleshooting of 1P onboarded data to ensure acceptable match rates with client systems
  • Advance internal modeling practices to optimize core hour usage and drive activation efficiency
  • Perform audience analyses on existing customer segments and collaborate across internal teams to present actionable insights
  • Guide the development of statistically sound test designs, minimizing bias and delivering actionable outcomes
  • Stay informed about evolving media landscapes, providing research and insights to media teams and clients
  • Communicate insights effectively, ensuring understanding and application of data science outcomes by clients
  • Build impactful presentations that clearly outline the importance of analyses, the insights revealed, and recommended actions
  • Drive organic revenue growth through cross-selling and up-selling data science products across client divisions and categories
  • Index report Python script runs and maintenance for data organization that leads to more efficient analysis
  • Develop and implement a test-and-learn roadmap to continuously refine strategies and optimize data-driven decisions, ensuring clear measurement frameworks and actionable insights
  • Create and manage deliverables against detailed roadmap that align expectations with outcomes
  • Provide a high-value consultation layer on top of data science deliverables

Qualifications
  • 6-8 years of experience in advertising, marketing, or data science fields, with agency experience strongly preferred
  • Quantitative educational background
    • Nice to have (preferred advanced degree in Statistics and / or Data Science)
  • Experience with Habu, LiveRamp, EPC, Snowflake cleanroom for audience design
  • Advanced proficiency in SQL, Python, and statistical modeling techniques (e.g., logistic regression, clustering) to manipulate data and draw insights from large data sets
  • Familiarity with cloud services (e.g., AWS, Redshift) and large-scale data management
  • Solid understanding of digital media buying, KPI development, and programmatic audience buying
  • Proven ability to manage and present to clients, with experience resolving complex data-related challenges
  • Strong critical thinking and problem-solving skills - a demonstrated ability to mine data for relevant and actionable insights
  • Exceptional written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
  • Proven ability to manage cross-functional teams and fast-paced projects while meeting tight deadlines
  • Proven hands-on knowledge and experience of advanced statistical concepts and machine learning techniques (logistic regression, k-means clustering, etc.)
  • Understanding of experimental design and the concept of statistical significance in terms of test results
  • Experience in a cross-functional team environment with agency experience a big plus
  • Strong understanding of contemporary marketing analytics, advertising technology and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment
  • Strong client management/consultative experience with both presenting and resolving issues
  • Specific attention to detail to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams
  • Outgoing and able to integrate with fast-paced planning and activation teams
  • Able to cultivate excellent relationships with clients and technology partners
  • Ability to meet deadlines in a fast-paced environment

Additional information
Our Publicis Groupe motto "Viva La Diffรฉrence" 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 USMSTACompliance@publicis.com.
Compensation Range: $112,290 - $179,712 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 07/16/2026.
All your information will be kept confidential according to EEO guidelines.
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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 7/1/2026.