Demonstrates expertise in managing data science and engineering teams, designing large-scale data platforms, and implementing robust data processing workflows. Proficient in Python, SQL, and data orchestration tools, with a strong focus on data quality and architecture alignment with business goals.

Highest-signal resume keywords

Data Science LeadershipLarge-Scale Data Platform DesignPython ProgrammingData Orchestration ToolsCloud Platform Experience

Tech Stack

Tools & technologies

AirflowApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure
Design, build, and maintain distributed data processing workflows (batch & 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 performance feedback for the team
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 decision-making infrastructure for real-time pricing, optimization, large-scale data pipelines, and machine learning products
Generate price recommendations by processing customer data and market predictions through an optimization engine

Requirements

What you’ll need

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

Benefits

Comp & perks

Full-time employment
Remote/hybrid work arrangement

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills

Data ScienceData EngineeringPythonSQLData ModelingData OrchestrationCloud PlatformsDistributed Data FrameworksCI/CD PipelinesData Structures

Soft Skills

CommunicationMentorshipCollaboration

Tools & Technologies

AirflowPrefectDagsterGCPDockerBigQueryDataflowPub/Sub

Certifications & Qualifications

BSc/MSc in MathematicsPhysicsStatisticsComputer Science

Industry Keywords

Data PipelinesMachine LearningOptimizationPricingGDS Systems