Data Science Team Lead Job at Taboola (TLV)

Team Lead Data Science

We are seeking a technically skilled leader to join our dynamic Data Science dep...

Location

Salary:

Not provided

AUTO1 Group

Expiration Date

Until further notice

Requirements

Deep knowledge in statistical and quantitative analysis
Practical expertise in SQL and Python honed over several years
Experience with cloud platforms like AWS, Azure, or Google Cloud is a significant advantage
Proven leadership skills with a track record of delivering end-to-end Machine Learning products in collaborative environments
Excellent communication skills to interact with stakeholders and communicate complex technical concepts
Hands-on experience with a wide array of machine learning methods and ability to discern the most suitable technique
Practical experience in causal inference is a plus
Strong motivational and managerial skills to guide, support, and inspire your team

Job Responsibility

Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions
Foster a culture that values data-driven decision-making within the organization and aid in the enhancement of our data platform
Offer ML and engineering expertise and ensure your team builds, deploys and maintains high standards models
Drive innovation and creativity within your team, encouraging them to explore new data science techniques and approaches
Empower your team by supporting members to grow and take ownership of data science projects
Cultivate and demonstrate an action-oriented approach, encouraging your team to experiment, iterate, drive initiatives forward, even amidst ambiguity
Continually assess and improve the team's performance, setting clear expectations and providing constructive feedback

What we offer

30 days of vacation per year
Educational budget to support your continuous learning and development
Freedom to choose the operating system you prefer working with
Exciting team events like Hackathons, foster collaboration and innovation
Discounts at Autohero, our platform for high-quality used cars

Data Science & Algorithms Team Lead – AdTech

Start.io is a sell-side omnichannel advertising platform powered by real-time mo...

Location

Salary:

Not provided

Start.io

Expiration Date

Until further notice

Requirements

MSc in Computer Science, Mathematics, Statistics, or a related field
Strong background in Data Science, Reinforcement Learning, and classical ML for tabular data
At least 3 years of proven team leadership experience in real-time, production systems
Experience leading or mentoring technical teams
Strong hands-on skills in Python and common ML libraries (e.g., regression/classification, XGBoost / LightGBM, recommendation systems, etc.)
Solid understanding of databases and SQL for data retrieval and analysis
Familiarity with monitoring/alerting tools such as Grafana and Kibana
Strong analytical mindset and ability to thrive in a dynamic and changing environment
Excellent communication skills, with the ability to clearly explain complex technical concepts to management and cross-functional teams

Job Responsibility

Lead, mentor, and grow a team of data scientists, ML engineers, and analysts
Own the end-to-end lifecycle of algorithmic solutions — from translating business needs into a data science problem formulation, researching and proposing solutions, defining required data sources and transformations, and designing the supporting infrastructure, to establishing production-grade testing, monitoring, and value measurement
Design and constantly deliver low-latency algorithms and their modifications, in production. Including designing low latency feature store
Define and drive monitoring, QA, data drift, and model quality standards, ensuring reliability and continuous improvement
Work closely with DevOps/MLOps to ensure the solution runs on scalable and highly reliable infrastructure
Coordinate and align efforts across multiple teams — Data, DataOps, MLOps, Analytics, BI, and QA — to ensure smooth delivery and execution
Collaborate closely with Product, Engineering, Infrastructure, and Business stakeholders in a fast-paced environment
Drive the team’s technical direction, actively participating in idea generation, solution design, and design reviews

Data Science Team Leader

As the Senior Team Lead for Data Science - Logistics Estimations, you will be th...

Location

Germany; United Kingdom; Netherlands , Berlin; London; Amsterdam

Salary:

Not provided

Just Eat Takeaway.com

Expiration Date

Until further notice

Requirements

Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists
Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment
Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems
Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions
Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring
Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders

Job Responsibility

Team Leadership: Mentor and manage a high-performing Data Science team, fostering a culture of speed, rigor, and courier-centric problem-solving
Strategy & Roadmap: Own the data science strategy for real-time courier pay systems, including dynamic earnings, surge pricing, and incentive programs
KPI Ownership: Drive critical business outcomes by taking ownership of key courier supply metrics like availability, acceptance rates, and earnings competitiveness
Root Cause Analysis & Communication: Diagnose structural and behavioral supply issues and translate complex economic models into actionable narratives for cross-functional stakeholders
Real-Time Architecture: Design the conceptual framework for real-time incentive engines, balancing advanced model sophistication with strict latency and reliability constraints
Dynamic Pricing: Oversee the development of predictive models that address local supply-demand imbalances and optimize real-time boost levels
Fairness & Technical Standards: Act as the senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias
MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models
Causal Experimentation: Lead the design and execution of complex marketplace experiments to accurately measure the real-world impact of pay and incentive changes
Behavioral Modeling & ROI: Direct the modeling of courier behavior (elasticity, churn, engagement) and build frameworks to maximize the ROI of incentive spend using large-scale geospatial data

Fulltime

Chapter Lead Data Science

As a Chapter Lead you have a dual role. You build a strong-identity team that ap...

Location

Turkey , Istanbul

Salary:

Not provided

220 Marketing Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
Management experience in an Agile organization
Strong analytic skills
Experience as a data scientist in retail domain
Experience/ knowledge of the business of the Tribe you work in
A proven track record in analytics, backlog management and resource planning
Ability to lead teams of experts working in a highly complex and dynamic environment
Achieve optimum results by empowering teams
Passionate about developing teams to achieve craftmanship and personal development
A mindset that focusses on continuous improvement

Job Responsibility

Build a strong-identity team that apply their diverse skills and perspectives to achieve common goals
Actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship
Spend majority of your time working together with your team as a contributor on delivery
Decide on allocation of your chapter members capacity for the global backlog delivery demand
Report to the Area Lead Retail Banking Analytics
Develop a view on the future of the DS capability craftsmanship and drive continues development of chapter members
Work closely with other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
Decide on allocation of capacity of your chapter members for the delivery of the global priorities
Steer and develop your chapter members to meet both their career goals and organisation's goals
Contribute to the success of projects by doing hands-on data scientist work

What we offer

14 days of welcome leave days even in your first year
Self-driven career opportunities
Personal growth & challenging work with endless opportunities
Informal, dynamic environment with innovative colleagues
Global projects and/or career opportunities
Various communication activities & celebrations
Comprehensive health insurance package for you and your beloved ones (spouse/children)
Private Pension plan for your future dreams

Fulltime

Chapter Lead Data Science

As a Chapter Lead you have a dual role. You build a strong-identity team that ap...

Location

Turkiye , Istanbul

Salary:

Not provided

ING

Expiration Date

Until further notice

Requirements

Education: Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
Experience: Management experience in an Agile organization
Strong analytic skills
Experience as a data scientist in retail domain
Experience/ knowledge of the business of the Tribe you work in
Competencies: A proven track record in analytics, backlog management and resource planning
Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
Achieve optimum results by empowering teams
Passionate about developing teams to achieve craftmanship and personal development
A mindset that focusses on continuous improvement

Job Responsibility

Together with the Area/Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
Together with the Area/Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
Steer and develop your chapter members to meet both their career goals and the organisation’s goals, driving engagement and results via inspiring leadership
Contribute to the success of the projects you are assigned to by doing hands-on data scientist work
Hands-on and multiple retail DS project management in lending, personalization and pricing domains
Act as an expert on the craftmanship development needs for Data Science
Manage and report on the performance of a substantial, diverse team
set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
Work with your colleagues on the (global) backlog deliveries

What we offer

14 days of welcome leave days even in your first year
Self-driven career opportunities
Personal growth & challenging work with endless opportunities
An informal, dynamic environment with innovative colleagues
Take a part in global projects and/or career opportunities
Various communication activities & celebrations
Comprehensive health insurance package for you and your beloved ones (spouse/children)
Private Pension plan for your future dreams

Fulltime

Data Science Lead

We are looking for a Data Science Lead (staff level) to join the Enterprise Data...

Location

Israel , Tel Aviv

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

2+ years of managerial or tech lead experience
7+ years of hands-on experience with machine learning, including leading projects and communicating their value
Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
Hands-on experience with LLMs, RAG systems, and agentic AI architectures
Great coding skills and engineering practices
An entrepreneurial mentality
excited to work with product and business teams to identify new opportunities, plan, and lead their development
Excellent communication skills in English
An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field
Experience managing or working with international colleagues – advantage

Job Responsibility

Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases
Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects – potentially hiring locally
Align product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress
Guide your small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring

What we offer

Flexible hybrid work
Team breakfast gatherings
On-site gym
Private health insurance

Fulltime

Data Science Lead, Health AI

At Microsoft AI, we are inventing an AI Companion for everyone – an AI designed ...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or related field OR equivalent experience
Experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge
Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results
Experience working with Python for data processing, analytics, or pipeline orchestration
Experience applying data science in a scaled consumer products environment
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders

Job Responsibility

Develop metrics for the healthcare category of Copilot usage and quality
Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot
Enable A/B testing and other experimentation for new features
Design, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiences
Partner with product and clinical counterparts to define source-of-truth datasets and standardized metrics for user engagement, safety, and health outcome evaluation
Drive continuous improvement in data quality, discoverability, and observability
Contribute to shaping data infrastructure strategy and tooling to support next-generation health AI systems
Enjoy working in a fast-paced, design-driven, product development cycle & embody our Culture and Values

Fulltime

Data Engineering Team Lead

The Data Engineering Team Lead will play a critical role in advancing Helzberg D...

Location

United States , North Kansas City

Salary:

Not provided

Helzberg Diamonds

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
7+ years of experience in data engineering, software engineering, or related roles
2+ years of experience in a technical leadership or team lead role
Strong experience with SQL and data modeling for analytics and reporting
Hands-on experience building and operating data pipelines using modern tools and frameworks (e.g., cloud-native services, ELT/ETL platforms, orchestration tools)
Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)

Job Responsibility

Lead the design and implementation of modern data engineering solutions, including data ingestion, transformation, and orchestration pipelines
Own and evolve core data platforms such as the enterprise data warehouse/lakehouse, ensuring scalability, reliability, and performance
Establish and enforce engineering best practices for data modeling, code quality, testing, monitoring, and documentation
Partner with architecture, security, and infrastructure teams to ensure solutions meet enterprise standards for availability, security, and compliance
Lead, mentor, and grow a team of data engineers, fostering a culture of accountability, learning, and continuous improvement
Provide technical guidance, code reviews, and career development support for team members
Assist with hiring, onboarding, and performance management of data engineering talent
Collaborate closely with Analytics, Data Science, Product, and Business teams to translate business requirements into scalable data solutions
Prioritize work in partnership with stakeholders, balancing near-term delivery with long-term platform health
Support data governance, data quality, and master data initiatives to ensure trusted, business-ready data

Fulltime

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Data Science Team Lead

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