Data Scientist

Insight Global; United States; Remote; USD 93,676 - 112,963; Full time

Benefits offered by this job

Health, dental, and vision insurance

HSA, FSA, and DCFSA options

401k with employer matching

Paid sick leave and other time off

Job summary

A leading staffing company is seeking a Data Scientist to enhance an internal pricing and inventory decision-support tool. The role, which offers a contract option with the possibility of extensions and permanent conversion, involves building predictive models and analyzing complex datasets. Ideal candidates will have at least 5 years of experience in predictive modeling, strong skills in Python or R, and the ability to translate technical outputs for non-technical stakeholders. Benefits include comprehensive health packages and a competitive pay range.

Qualifications

• 5+ years of experience developing and deploying predictive models in production environments.
• Strong proficiency in Python or R, and SQL.
• Hands-on experience with cloud data warehouses (Snowflake OR Databricks).

Responsibilities

• Build and deploy predictive models for pricing and scenario outputs.
• Analyze sales, inventory, IoT signals, and vendor data.
• Support scenario analysis and 'what-if' comparisons.
• Translate complex outputs into business recommendations.
• Collaborate with Data Engineers for production readiness.
• Produce clean, documented code for maintainability.

Skills

Experience with predictive models

Proficiency in Python or R

Strong SQL skills

Knowledge of recommendation systems

Anomaly detection techniques

Experience with cloud data warehouses

Familiarity with retail or supply chain datasets

Job description

Title: Data Scientist

Location: Remote - EST

Job Type: 6 month contract + extensions, conversion to perm possible

Base pay range: $68.00/hr - $82.00/hr

Compensation: $68/hr to $82/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Required Skills & Experience

• 5+ years of experience developing and deploying predictive models in production environments.
• Strong proficiency in Python or R, and SQL.
• Recommendation systems (pricing, demand, or inventory)
• Anomaly detection
• Modeling with IoT or telemetry data
• Hands‑on experience with cloud data warehouses (Snowflake OR Databricks)
• Experience working with retail, inventory, supply chain, or vendor‑based datasets.

Job Description

This role supports the enhancement of an internal pricing and inventory decision‑support tool used by venue operators and site managers. The tool enables users to configure future periods, run pricing scenarios, and apply model‑driven recommendations that forecast demand, inventory needs, and financial impact (revenue, gross profit, margin).

Day to day, the Data Scientist will:

• Build and deploy predictive models that power product‑level pricing and scenario outputs in the tool.
• Analyze POS sales, back‑of‑house and warehouse inventory, IoT/telemetry signals, and vendor data.
• Support scenario analysis and “what‑if” comparisons (e.g., price changes, end‑of‑event markdowns).
• Translate complex model outputs into clear, business‑facing recommendations for non‑technical users.
• Partner closely with Data Engineers to ensure models are production‑ready, scalable, and reliable.
• Produce clean, documented code and lead knowledge transfer for long‑term maintainability.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology and Engineering

Staffing and Recruiting