Data Scientist

West500 Partners
Lakeland, FL, United States
2 days ago
Apply on www.disabledperson.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Data Visualization Python (Programming Language) Power BI SQL Databases Tableau (Software) Snowflake

Requirements

  • 7+ years experience in Data Science, Applied Statistics, or a related field
  • Strong statistical analysis, exploratory data analysis, and predictive modeling skills
  • Expertise in Snowflake and SQL, Python experience a very nice to have
  • Proven background building and evaluating predictive models including forecasting, classification, regression, clustering
  • Deep experience partnering with Product, Engineering, and Operations teams
  • Experience with Sigma or similar visualization tools (Tableau, Power BI, etc.)
  • BS degree in CS, Mathematics, or other STEM discipline
  • Strong communication skills (experience presenting to technical and non-technical audiences)

About the company

Our client is a growing track-and-trace software company serving both regulators and the entire supply chain (Manufacturers, Logistics, Retail, etc.) across the US. They’re currently in need of a remote Data Scientist who can turn complex data into actionable business insights. This role focuses on discovering patterns, developing predictive models, and identifying risks and opportunities. While data readiness and quality are important, this is not an ETL-focused role.

This is a remote opportunity with occasional travel. Our client is based in Florida and is currently considering candidates residing in the Southeast + Central US.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.disabledperson.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all