Gentis Solutions

Data Scientist

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Blue Ash, OH
135k/year - 166k/year
October 30, 2024
Applicants: 0 Interviewing: 0 Hired: 0
Contract-to-Hire In Person
Randi Brofft

Randi Brofft

Vice President
Information Technology Retail Transportation

About the Job

Gentis Solutions is looking for a Data Scientist to join our team. This role is part of our Professional Consultants group, working directly with clients to accomplish their goals. The client has expressed an interest in hiring the individual after project completion. Consulting engagements of this type typically last an average of 3-6 months.

Compensation for this position ranges from 135k/year - 166k/year per year, based on experience. Payment is bi-weekly and is based on all hours worked, without eligibility for overtime.

This position requires the individual to be located in the Blue Ash, OH area.

Requirements

  • 5+ years of experience as a Data Scientist or ML Engineer
  • High level of independence in developing and owning toolkits, pipelines, models, and dashboards
  • Experience designing, building, and deploying scalable cloud-based solution architectures
  • Proficiency with public cloud platforms like AWS, Azure, or GCP
  • Experience with MLOps, CI/CD pipelines, and TDD/BDD practices
  • Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture
  • In-depth knowledge of mathematics, statistics, and algorithms
  • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Strong programming skills in one or more languages, such as Python, Java, Go, JavaScript, or C++
  • Familiarity with infrastructure components like storage and networking
  • Strong analytical problem-solving skills
  • Excellent written and verbal communication skills
  • Self-starter with initiative, able to perform well under pressure
  • Business-minded approach to managing time, costs, and milestones
  • Ability to work effectively within a matrixed team environment

Nice to Have

  • Microsoft Certified: Azure Data Scientist Associate (DP-100)
  • Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, or Azure Synapse
  • Experience with combinatorial optimization
  • Experience with GitHub Functions
  • Experience with SQL Server, SSIS, ETL/ELT, NoSQL, Redis, ODS
  • Familiarity with industry-standard data models such as ADRM or Common Data Model
  • Experience with Domain-Driven Design, microservices, Event-Driven and Mesh App architectures
  • Experience in the Retail industry