Data Science Team Lead

Fetcherr

. Manage a team of data scientists and data engineers building robust, scalable, high-performance data pipelines and infrastructure .

Posted 11/1/2026full-timeNetanya • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science and engineering teams, with a strong focus on building and maintaining scalable data pipelines and architectures. Proficient in Python, SQL, and cloud platforms, with a solid understanding of data orchestration and optimization techniques.

Highest-signal resume keywords

Team LeadershipPython ProgrammingData Orchestration ToolsCloud Platform ExperienceData Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingAdvanced SQLData ModelingData Pipeline OptimizationDistributed Data FrameworksMachine Learning PipelinesData StructuresAlgorithmsCI/CD PipelineData Quality Best Practices

Soft Skills

CommunicationMentorshipCollaborationTeam ManagementPerformance Feedback

Tools & Technologies

AirflowPrefectDagsterGoogle Cloud PlatformBigQueryDataflowPub/SubDockerGitHubGitLab

Certifications & Qualifications

BSc/MSc in MathematicsPhysicsStatisticsComputer Science

Industry Keywords

Data ScienceData EngineeringPricing OptimizationReal-Time PricingGDS Systems

Tech Stack

Tools & technologies

AirflowApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Manage a team of data scientists and data engineers building robust, scalable, high-performance data pipelines and infrastructure
Analyze existing models and algorithms and research new approaches in price optimization
Design, build, and maintain distributed data processing workflows, including batch and streaming
Drive best practices for data quality, validation, testing, and observability
Own and evolve Fetcherr’s data architecture in alignment with business and product goals
Manage sprint planning, task breakdown, code reviews, and team performance feedback
Contribute hands-on to key development tasks and architecture decisions
Recruit, mentor, and grow the data science engineering team
Lead architecture decisions, development, and deployment of mission-critical systems
Build and maintain the decision-making engine and data pipelines supporting real-time pricing and price optimization recommendations

Requirements

What you’ll need

3+ years of proven experience leading and managing a team of data scientists/data engineers; people management is required
4+ years of experience in data science
Strong Python programming background
Advanced SQL skills
Data modeling experience
Proven experience designing and maintaining large-scale data platforms
Expertise with data orchestration tools such as Airflow, Prefect, or Dagster
Cloud platform experience; GCP preferred, AWS/Azure acceptable
Strong communication, mentorship, and collaboration skills
BSc/MSc in Mathematics, Physics, Statistics, or Computer Science
Fluent English, spoken and written
Experience with Google Cloud Platform tools such as BigQuery, Dataflow, or Pub/Sub
Background working with ML pipelines or data science teams
Understanding of data contracts, lineage, and versioning tools
Knowledge of data structures and algorithms
Familiarity with Docker
Experience optimizing pipelines and databases for performance and cost
CI/CD pipeline experience with GitHub/GitLab
Hands-on experience with distributed data frameworks such as Apache Beam or Spark
Exposure to airline, pricing, or GDS systems

Benefits

Comp & perks

Remote/hybrid work arrangement
Team leadership and mentorship opportunities