Data Scientist - Hybrid

Job summary

The Data Scientist will develop predictive machine learning models to integrate weather data with client sales information to optimize demand forecasting and operational risk. They will also partner with cross-functional teams to build scalable analytics solutions and derive actionable insights from complex meteorological datasets.

Job details

The Data Scientist will develop predictive machine learning models to integrate weather data with client sales information to optimize demand forecasting and operational risk. They will also partner with cross-functional teams to build scalable analytics solutions and derive actionable insights from complex meteorological datasets. Candidates must have a degree in a STEM discipline and at least 3 years of data science experience, specifically in B2B environments. Proficiency in Python, SQL, and distributed computing frameworks like Apache Spark is required for this role.

What you’ll do

The Data Scientist will develop predictive machine learning models to integrate weather data with client sales information to optimize demand forecasting and operational risk. They will also partner with cross-functional teams to build scalable analytics solutions and derive actionable insights from complex meteorological datasets.

Requirements

Candidates must have a degree in a STEM discipline and at least 3 years of data science experience, specifically in B2B environments. Proficiency in Python, SQL, and distributed computing frameworks like Apache Spark is required for this role.

Benefits

• Retirement savings matching plan
• Personal spending account
• Health care spending account
• Summer hours
• Paid days off
• Course reimbursement program
• Virtual counseling sessions
• Free online doctor visits

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data science
• Spatio-temporal modeling
• Time-series forecasting
• Google BigQuery
• SQL
• Python
• Statistical modeling
• Data visualization
• NumPy
• SciPy
• Scikit-learn
• TensorFlow
• PyTorch
• Apache Spark
• Machine learning
• Distributed computing

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research
• Engineering

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