Data Scientist (Databricks)

HirePlus Infotech LLC; United States; Remote; USD 90,000 - 120,000; Part time

Job summary

A staffing and recruiting firm is seeking a Data Scientist for a contract role in the United States. The ideal candidate will possess a strong background in supply chain analytics, with proficiency in Python, PySpark, and Databricks. This role requires a minimum of 5 years of experience in data science and applied machine learning within supply chain operations. Strong skills in predictive modeling and data visualization are essential.

Qualifications

• 5+ years of experience as a Data Scientist with applied ML in supply chain or operations.
• Hands-on experience in Databricks (Spark, Delta Lake, MLflow).
• Strong understanding of supply chain processes (procurement, logistics, backlog/inventory management).

Skills

Supply Chain Domain Exp

Python

PySpark

SQL

Predictive Modeling

Regression

Time Series Forecasting

Anomaly Detection

Clustering

Data Visualization

Education

Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or Supply Chain Analytics

Tools

Databricks

Tableau

Power BI

Job description

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Data Scientist (Databricks) - USA (Remote) for a contract role.

Any visa fine: US Citizen, Green Card, H4 EAD, L2 EAD, OPT EAD.

No H1-B visa holders at this time.

W2 only – No C2C / No third party.

Must Have

• Supply Chain Domain Exp

Required Skills & Qualifications

• Bachelor’s or master’s in data science, Statistics, Computer Science, or Supply Chain Analytics.
• 5+ years of experience as a Data Scientist with applied ML in supply chain or operations.
• Strong knowledge of Python, PySpark, and SQL.
• Hands-on experience in Databricks (Spark, Delta Lake, MLflow).
• Proficiency in predictive modeling, regression, time series forecasting, anomaly detection, and clustering.
• Strong understanding of supply chain processes (procurement, logistics, backlog/inventory management).
• Solid experience with data visualization (Tableau, Power BI, or Databricks notebooks).

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Staffing and Recruiting

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