Director Data Science Job at Peec AI GmbH (Berlin)

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...

Location

United States , New York

Salary:

141170.00 - 280000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
2 years experience in marketing analytics, clinical trials, or health research
2 years experience in machine learning, statistical analysis, or predictive modeling
2 years experience with visualization tools including PowerBI or Tableau
2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
2 years experience designing data models and solutions for analytical and reporting use cases
2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
2 years experience with machine learning algorithms
2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
2 years experience with machine learning operations

Job Responsibility

Develop and implement analytics applications and models to transform data into meaningful information
Design and develop data solutions using industry leading tools, technologies and best practices
Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
Deliver predictive models that inform solutions for in-house teams and customer engagement
Visualize and interpret data and create reports
Manipulate data using statistical software
Compare models using statistical performance metrics
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long-term disability benefits
Well-being programs
Education assistance

Fulltime

Senior Director of STEM-S Research and Data Science Initiatives

The Senior Director will provide strategic leadership in advancing STEM-S and Da...

Location

United States , Atlanta

Salary:

Not provided

AGB Search

Expiration Date

February 23, 2026

Requirements

Minimum and desired qualifications along with additional information about the position and AUCC can be found in the leadership profile

Job Responsibility

Provide strategic leadership in advancing STEM-S and Data Science education and pedagogies
Coordinate data science and STEM at four renowned HBCU’s
Continue to develop the Data Science Institute by promoting the emerging data science educational programs and facilitating interdisciplinary industry and government partnerships, and community outreach
Translate a collective vision into actionable strategies
Synthesize input from faculty, staff, and institutional leaders to build a cohesive roadmap for the consortium’s success
Set a common vision for success for Data Science in the AUCC that inspires and attracts faculty and students to the academic ecosystem for Data Science
Bring exceptional communication and listening skills to facilitate the future success for Data Science at the AUCC

Data Science Intern

DOCSI is seeking a talented, driven data scientist to join our engineering team ...

Location

United States , Minneapolis

Salary:

Not provided

DOCSI

Expiration Date

Until further notice

Requirements

1-3 years of an undergraduate Data Science/Computer Science education or equivalent learning experience
A solid comprehension of core Data Science principles and best practices
Fundamental understanding of Git (or equivalent version control) and how to manage branches and merges
Action driven self-starter who enjoys improving existing processes
Lifelong learning mindset with a desire to explore new ideas and connect them to their work
Ability to work in an ambiguous, fast-paced environment

Job Responsibility

Work alongside the Director of Engineering and other brilliant DOCSI engineers to build and maintain our web platform
Design and create machine learning tools to amplify the quality of surgical waste reduction recommendations
Explore cutting-edge ML and AI models to solve complex healthcare logistics problems
Write code that goes directly into the hands of customers
Participate in critical design discussions that determine the future direction of our product
Gain access and connections to key members of the Twin Cities startup community
Help shape the culture of a new and growing engineering team

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...

Location

United States , Metairie

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
10–15+ years of progressive experience in data management, analytics, or leadership
Strong knowledge of data governance, metadata management, and MDM
Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
Understanding of IoT, digital twins, and Industry 4.0 technologies
Excellent communication, change management, and cross-functional leadership skills
Strategic thinking and business acumen
Relationship and stakeholder management
Enterprise systems expertise
Change leadership and communication

Job Responsibility

Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Director, Applied Science

The Machine Learning team at Viant is revolutionizing the Ad Tech industry with ...

Location

United States , Irvine

Salary:

220000.00 - 260000.00 USD / Year

Viant

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning
at least 5+ years leading and scaling high-performing teams
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree preferred
Strong expertise in developing and applying machine learning models for real-world business applications
Proven ability to deliver results at scale through innovation and operational excellence
Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry
Demonstrated track record of fostering collaboration across technical and business teams

Job Responsibility

Provide strategic and technical leadership to the Machine Learning Engineering team
Own the end-to-end development, deployment, and maintenance of machine learning models
Develop and coach a team of machine learning engineers
Apply advanced machine learning techniques to solve problems such as content demand forecasting, incremental value measurement, and personalization
Collaborate with cross-functional teams to deliver actionable insights and guide strategic decisions
Drive innovation by researching and implementing new methodologies
Build and nurture relationships with stakeholders

What we offer

fully paid health insurance
paid parental leave
unlimited PTO

Director, Data Operations

As the Director of Data Operations, you will lead a high-performing team of Tech...

Location

United States , New York; Oakland

Salary:

177000.00 - 234000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
10+ years relevant experience in data operations, data engineering or systems architecture
5+ years of people leadership, with a track record of building, coaching, and scaling high-performing teams in data or platform environments
Strong command of the modern data stack, including Snowflake, dbt, Git, orchestration tools, and semantic layer platforms
Proven leadership experience managing cross-functional analytics teams in an enterprise environment
Deep understanding of dimensional modeling, metric standardization, and semantic architecture design
Excellent written and verbal communication skills, with a passion for making data accessible and actionable
Must have legal right to work in the U.S.

Job Responsibility

Manage a team of senior and mid-level data operations analysts, providing technical guidance, mentorship, and performance management
Contribute to talent growth and team development, recruiting and mentoring future data operations and analytics professionals
Align technical execution with the product roadmap and vision, ensuring KPI metrics and requirements are well-defined and actionable
Work across a wide range of enterprise data tools and platforms, leveraging transformation technologies like DBT and visualization tools such as Looker and Tableau
Oversee implementation and scaling of the semantic layer platform, working cross-functionally to deliver trusted and accessible data assets
Partner with data engineering, product, and analytic teams to ensure solution designs meet evolving business needs and technical scalability
Prioritize team workload across projects, balancing tactical delivery with long-term systems and data platform evolution
Establish and enforce technical best practices around dbt, testing frameworks, CI/CD, and Git workflows
Review and guide the development of data pipeline requirement documentation, process models, and architectural recommendations
Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases

What we offer

discretionary short-term and long-term incentives

Fulltime

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Director Data Science

Peec AI GmbH

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 15, 2026

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