Head of Data Science & Analytics Job at Robert Half (Fort Lee)

Head of Data Science & Analytics

A hands-on data leader is sought who thrives at the intersection of high-impact ...

Location

United States , Fort Lee

Salary:

200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or related field and 8+ years of relevant experience
Proven hands-on SQL, Python, and Databricks skills
Data science experience within a marketing context, including: Attribution modeling
Audience segmentation, targeting, and measurement
Campaign lift analysis
Predictive modeling
KPI forecasting and scenario planning
Funnel conversion analysis
Geographic performance and market opportunity analysis
Marketing experimentation frameworks

Job Responsibility

Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building
Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights
Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models
Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes
Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting
Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms
Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams
Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders
Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges

What we offer

Eligible for the annual bonus program
Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD&D, legal, identity theft protection, employee assistance program, wellbeing resources
Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave
Retirement Benefits: Savings plan with annual company contribution

Fulltime

Head of Data Science & Analytics

A hands-on data leader is sought who thrives at the intersection of high-impact ...

Location

United States , Fort Lee

Salary:

200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or related field and 8+ years of relevant experience
Proven hands-on SQL, Python, and Databricks skills
Data science experience within a marketing context, including: Attribution modeling
Audience segmentation, targeting, and measurement
Campaign lift analysis
Predictive modeling
KPI forecasting and scenario planning
Funnel conversion analysis
Geographic performance and market opportunity analysis
Marketing experimentation frameworks

Job Responsibility

Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building
Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights
Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models
Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes
Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting
Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms
Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams
Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders
Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges

What we offer

Eligible for the annual bonus program
Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD& D, legal, identity theft protection, employee assistance program, wellbeing resources
Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave
Retirement Benefits: Savings plan with annual company contribution

Fulltime

Head of Data Science & Analytics

Lead and elevate the data function at Heetch. This role blends technical experti...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

10+ years of experience in Data Science, Analytics or a related field
3+ years of leadership experience
Proven ability to recruit, develop and mentor high-performing teams
Deep expertise in Python, SQL, and statistical modelling
Experience in production-grade data science
Strong background in experimentation, A/B testing, and causal inference
Ability to translate complex data insights into business actions

Job Responsibility

Mentor, coach, and develop data scientists and analysts
Create growth opportunities within the team
Foster a culture of analytical excellence, curiosity, and ownership
Define and drive the data science & analytics roadmap
Balance predictive modelling, experimentation, and deep analytics
Ensure best practices in data governance, quality, and scalability
Scale A/B testing and causal inference frameworks
Develop methodologies to measure impact and optimise key metrics
Partner with PMs, engineers, and leadership
Leverage data storytelling and advanced analytics to influence strategic decisions

Fulltime

Head of Data Science

We are currently looking for a Head of Data Science to join a growing, specialis...

Location

United Kingdom , London

Salary:

95000.00 - 120000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong background in data, analytics, or data science
Experience working within financial services, risk, or fraud-related domains
Ability to work with stakeholders and communicate insights effectively
Experience working with modern data tools and technologies

Job Responsibility

Leading data-focused projects across financial crime and fraud
Analysing large datasets to identify trends, risks, and opportunities
Supporting the design and improvement of monitoring and detection processes
Working closely with business and technical stakeholders to deliver solutions
Translating data insights into clear, actionable recommendations
Supporting junior team members and contributing to overall project delivery
Contributing to broader initiatives across the business where relevant

What we offer

bonus
Hybrid working
Ongoing training and development
Clear progression opportunities
Exposure to a range of projects and clients
Supportive and collaborative team environment

Fulltime

Head of Data Science

We are looking for a Head of Data Science to lead and scale a world-class team, ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
A minimum of 10 years of work experience in applied analytics, including a minimum of 4 years of experience managing analytics teams
Proven track record of leading high-performing analytics teams
Experience building or scaling up analytics teams
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
You have proven experience driving impact through the development, experimentation and deployment of models and data-driven analytics solutions
You have a strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting
You have excellent communication skills and are proficient in business English

Job Responsibility

Lead a team of Data Scientists to improve overall decision making capabilities to drive business optimization
Scale up the team into a world-class Data Science team owning the full hiring funnel
Refine culture and team dynamics to nurture a cutting-edge Data Science team
Act as internal evangelist for a data-driven culture
Help drive the adoption of AI within the Data Science team and the wider organisation
Drive projects end-to-end in partnership with cross-functional teams
Lead the design and deployment of models driving the highest impact within Fever’s business
Own the experimentation framework used to evaluate experiments’ effectiveness at scale
Contribute towards advancing the Data Science discipline within Fever

What we offer

Bonus linked to performance
Stock options
40% discount on all Fever events and experiences
Flexible hybrid model
Health insurance and flexible compensation options via Cobee
English classes
Gympass membership
Salary advance via Payflow

Fulltime

Head of Data Science

The Head of Data Science is a senior position responsible for shaping, operation...

Location

India , Mumbai

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

Proven track record in leading data science projects with measurable business outcomes in a commercial setting
Expertise in statistical modelling, machine learning, predictive analytics, and data-driven decision-making
Strong experience with data science tools, frameworks, and cloud platforms
Proficiency in designing and managing end-to-end data science workflows, including data preparation, model training, deployment, and monitoring
Leadership experience managing teams of data scientists or analysts in fast-paced, innovation-driven environments
Ability to engage with C-suite stakeholders, translate business needs into analytical solutions, and communicate results effectively
Deep understanding of data ethics, privacy, and governance frameworks
Proven expertise in applied machine learning, predictive modelling, and statistical analysis within large, complex organizations
Strong track record of deploying and maintaining models in production, with emphasis on scalability, monitoring, and lifecycle management
Experience designing and leading experimentation frameworks to validate business impact

Job Responsibility

Establish and lead a high-performing Data Science function, fostering an environment of innovation, experimentation, and analytical excellence
Own the organizational data science strategy, including defining and delivering the intelligent data products vision and roadmap
Drive the full lifecycle of data science projects, from problem framing and data exploration to model development, validation, deployment, and scaling
Partner with senior leaders across platform, product, and business units to refine and execute the organizational data science strategy, ensuring alignment with business goals
Collaborate with stakeholders to identify high-impact use cases and prioritize initiatives that deliver measurable business value
Deliver advanced analytics and machine learning solutions addressing challenges such as customer personalisation, operational optimisation, fraud detection, predictive forecasting and more
Manage and mentor a team of data scientists, developing their technical and business skills while aligning their efforts with organizational priorities
Oversee the integration of data science solutions into existing systems, ensuring robustness, scalability, and long-term performance
Promote innovation by exploring new data science applications beyond current ecosystem limitations
Champion best practices in data governance, ethical data standards, and regulatory compliance

Head of Data Science

We’re looking for a visionary and hands-on Head of Data Science to join our team...

Location

United States; Canada

Salary:

250000.00 - 345000.00 USD / Year

Render

Expiration Date

Until further notice

Requirements

8+ years of experience in data science
4+ years in a leadership role scaling teams and delivering cross-functional impact
Strong foundation in statistics, causal inference, experimentation, and modeling techniques
Fluency in SQL and Python
Experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel)
Track record of influencing executive-level decisions through clear storytelling and analytical depth
Demonstrated ability to scale data functions from zero-to-one and beyond in fast-paced, product-led environments
Impact mindset: excited to wear multiple hats, move fast, and help define what “great” looks like

Job Responsibility

Build, lead, and mentor a high-performing data science team across analytics, experimentation, and statistical modeling
Personally drive and guide impactful IC work, from ad hoc analysis to ML-based modeling projects
Create and evangelize best practices for data reliability, reproducibility, and documentation
Collaborate with senior leadership to define a long term data strategy
Own and scale the Data Science function across product, growth, and go-to-market, aligning with company OKRs and strategic bets
Hire, lead, and mentor a world-class team of data scientists and analysts
build a high-trust, high-impact culture grounded in intellectual rigor and bias for action
Define and communicate Render’s long-term data strategy and architecture in partnership with Engineering and Product leadership
Drive strategic insight across the org: from pricing and packaging to product adoption, conversion, and customer segmentation
Promote data fluency across Render through tools, dashboards, and processes that empower every team to make smarter decisions

What we offer

Equity with early-exercise options and extended exercise windows
4 weeks of paid vacation
14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child
Long-term disability, life insurance, and 401K plans
100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent
FSAs and HSAs are available
Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
Monthly cell phone and internet subsidy
Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders
Continuous learning benefits & related support

Fulltime

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

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