Demonstrates expertise in managing data science and engineering teams, designing scalable data architectures, and optimizing data pipelines for performance and cost. Proficient in Python, SQL, and cloud platforms, with a strong focus on data quality and best practices.

Highest-signal resume keywords

Data Architecture ManagementTeam Leadership and MentorshipPython ProgrammingAdvanced SQL SkillsData Orchestration Tools

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 scale data infrastructure powering real-time pricing, large-scale data pipelines, and machine learning products
Generate price recommendations through optimization engines that account for competition, pricing constraints, inventory availability, predictive models, and client business policies

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)
Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) is nice to have
Background working with ML pipelines or data science teams is nice to have
Understanding of data contracts, lineage, and versioning tools is nice to have
Knowledge of data structures and algorithms is nice to have
Experience optimizing pipelines and databases for performance and cost is nice to have
CI/CD pipelines (GitHub/GitLab) is nice to have
Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar) is nice to have
Exposure to airline, pricing, or GDS systems is nice to have

Benefits

Comp & perks

Full-time employment

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 ModelingDistributed Data ProcessingMachine LearningData Pipeline OptimizationData Quality AssuranceData StructuresAlgorithmsCI/CD PipelinesCloud Platform Experience

Soft Skills

Strong CommunicationCollaborationMentorship

Tools & Technologies

AirflowPrefectDagsterGCPAWSAzureDockerBigQueryDataflowPub/Sub

Certifications & Qualifications

BSc/MSc in MathematicsPhysicsStatisticsComputer Science

Industry Keywords

Data PipelinesReal-Time PricingOptimization EnginesData ContractsLineageVersioning ToolsML PipelinesGDS Systems