Leader, Product Analytics & Data Science Job at Benchling (San Francisco)

Manager in Marketing Analytics & Data Science

Join Ekimetrics, a leading data science and AI solutions provider, as a Manager ...

Location

United States , New York

Salary:

140000.00 USD / Year

Chat3D

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness
Understanding of media variables/econometrics and prior modelling experience across large data sets
Knowledge and/or understanding of coding languages such as Python (preferable) or R
Experience working with clients and account management
Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues
Team oriented and collaborative working style, both with clients and those within the organization
Capacity to develop high impact thought leadership that articulates a forward thinking view of the market
Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders
Demonstrated ability to develop younger talent and build a high performing team

Job Responsibility

Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level
Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously
Cultivating your external network with a client centric approach
Responsible for the production of statistics and econometrics modeling
Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered
Ability to manage data scientists
Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement
Broad client relationships at VP level in order to achieve new business opportunities
Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels
Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics

What we offer

Medical insurance, dental and vision
An emphasis on work-life-balance and generous PTO
Dynamic environment with a strong culture and great offices
Close-knit team with friendly environment, bi-monthly team events and more
Creative and entrepreneurial start-up environment with vertical mobility
Best-in-class methodologies and cutting edge technologies
Unique training package with 70+ sessions
Growth to develop a double profile in data science and strategic consulting
Client exposure up to the executive level
Opportunities for international mobility

Fulltime

Manager in Marketing Analytics & Data Science

Join Ekimetrics, a leading data science and AI solutions provider, as a Manager ...

Location

United States , New York

Salary:

140000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness
Understanding of media variables/econometrics and prior modelling experience across large data sets
Knowledge and/or understanding of coding languages such as Python (preferable) or R
Experience working with clients and account management
Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues
Team oriented and collaborative working style, both with clients and those within the organization
Capacity to develop high impact thought leadership that articulates a forward thinking view of the market
Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders
Demonstrated ability to develop younger talent and build a high performing team

Job Responsibility

Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level
Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously
Cultivating your external network with a client centric approach
Responsible for the production of statistics and econometrics modeling
Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered
Ability to manage data scientists
Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement
Broad client relationships at VP level in order to achieve new business opportunities
Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels
Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics

What we offer

Medical insurance, dental and vision
An emphasis on work-life-balance and generous PTO
Dynamic environment with a strong culture and great offices
Close-knit team with friendly environment, bi-monthly team events and more
Creative and entrepreneurial start-up environment with vertical mobility
Best-in-class methodologies and cutting edge technologies
Unique training package with 70+ sessions
Growth to develop a double profile in data science and strategic consulting
Client exposure up to the executive level
Opportunities for international mobility

Fulltime

Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing sp...

Location

Ireland , Dublin

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
Proven track record of delivering measurable results from customer loyalty programs in large retail environments
Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Demonstrated ability in talent acquisition, team development, coaching, and mentoring
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication

Job Responsibility

Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues
Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent

What we offer

Complete benefits packages (health insurance, pension contribution etc.)
Possibility of enrolling in stock purchase plan
Employee discount on fuel
Learning opportunities to develop new skills and to evolve professionally in a fast-growing company

Fulltime

Head of Product Data Science

As the Data Science Leader at Abridge you will be responsible for building a wor...

Location

United States , San Francisco

Salary:

275000.00 - 325000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
Depth of experience using Python, R, SQL for large-scale analytics
Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment

Job Responsibility

Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team to 12+ over the next twelve months
Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
Drive product strategy through data-driven insights across our growing product portfolio , including user behavior analysis, deep-dives into product performance metrics, casual inference experimentation
Partner with our product, strategy and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the Company
Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.

Fulltime

Vice President, Global Analytics & Data Science

The Vice President, Global Analytics & Data Science, will define, scale, and lea...

Location

United States , Las Vegas, NV; Austin, TX

Salary:

262028.00 - 486623.00 USD / Year

Aristocrat Gaming

Expiration Date

Until further notice

Requirements

15+ years of dynamic experience in analytics, data science, or data-driven transformation
5+ years in senior or executive leadership roles within analytics, data science, or data-driven transformation
Consistent record of defining and delivering enterprise analytics strategies that drive measurable business impact
Demonstrated experience building and scaling analytics and data science platforms
Expertise in AI/ML technologies, including predictive modeling, generative AI, and advanced analytics methodologies
Strong understanding of ML Ops practices, including model deployment, governance, monitoring, and lifecycle management
Experience leading global, cross-functional teams spanning analytics, data science, and engineering
Confirmed ability to collaborate effectively with product, technology, and commercial organizations to translate data and AI capabilities into business solutions
Excellent communication and storytelling skills — able to influence C-suite collaborators and translate sophisticated analytics and AI concepts into strategic insights
Strong familiarity with modern data and analytics stacks, cloud platforms (e.g., AWS, GCP, Azure, Snowflake), and visualization tools (e.g., Tableau, Power BI, Looker). (Sql knowledge, conceptual, not daily coding)

Job Responsibility

Define and implement an enterprise analytics strategy that enables a scalable, customer-facing Analytics-as-a-Service operating model
Establish service models, engagement patterns, prioritization frameworks, and success metrics that balance business demand, delivery capacity, and strategic value
Act as a senior advisor to business leaders and customers, setting clear expectations on scope, timelines, tradeoffs, and outcomes for analytics engagements
Building a long-term vision for analytics evolves the organization from reporting to insight-led decision enablement, including predictive and prescriptive modelling of data and responsible adoption of AI-powered analytics
Promote data storytelling as a core skill in the analytics team, making sure insights are clear, contextual, and ready for decision-making
Establish standards for visualization, narrative flow, and communication with executives across analytics outputs
Ensure analytics leaders and practitioners can turn complex analytical results into business-relevant stories that drive action at all organizational levels
Offer knowledgeable guidance on BI, analytics, and AI platforms, with a solid understanding of what high-quality, scalable analytics look like
Collaborate with data engineering and technology teams to ensure analytics platforms are reliable, user-friendly, and capable of supporting future growth
Define how AI-driven analytics (such as augmented analytics, natural language insights, and automation) can ethically improve scale, efficiency, and customer experience

What we offer

health, dental, and vision insurance
paid time off
401(k) plan with employer matching

Fulltime

Ic8 Data Scientist, Product Analytics - Cp New Revenue Bets

We're looking for a experienced Data Scientist who can serve as a product analyt...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

New

Principal Engineer, Storage Data Science and Analytics

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap fo...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

10+ years of proven industry experience in software product development or enterprise data science, with a heavy emphasis on distributed systems, storage, or cloud infrastructure architectures
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline
Advanced mastery of machine learning algorithms (time-series forecasting, clustering, anomaly detection, random forests) and deep learning frameworks
Expert Python/Go-lang programmer
Strong working knowledge of data structures, algorithmic complexity, and multi-threaded programming
Experience with C/C++ or system internals is a strong differentiator
Concrete experience building and fine-tuning LLMs, prompt engineering, and leveraging vector databases
Exceptional ability to explain highly technical architectural trade-offs, algorithms, and AI solutions clearly to non-technical business leaders and executive management
A proven track record of industry innovation, backed by whitepapers, industry conference contributions, or patents in software and analytical design
Cloud Architectures

Job Responsibility

Serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud)
Lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file, block, and object storage systems
Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE's hybrid cloud platform
Develop predictive, prescriptive, and generative AI models to map data paths, enhance memory/space management, and predict capacity or hardware failure across global enterprise clusters
Validate highly complex, distributed telemetry data from customer storage networks to uncover structured insights that drive automated mitigation and system reliability
Design, deploy, and scale machine learning and deep learning code to run reliably in worldwide production edge-to-cloud environments
Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines (supporting Kafka, Spark, etc.)
Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting
Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions
Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams to foster an innovative technical community

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Data Engineering Leader, Analytics (Instagram)

We are seeking a Data Engineering leader to drive the direction of products that...

Location

United States , Menlo Park

Salary:

210000.00 - 281000.00 USD / Year

Select Country

Leader, Product Analytics & Data Science

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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