Hudson Manpower

Role Synopsis:

• The Data Science & AI Delivery team focuses on machine learning solutions for a sustainable grid.
• Their work involves analytics and changes management across business areas.
• They prioritize data-driven decisions rather than traditional utility analytics.

Key Responsibilities:

• Develop scientific algorithms to analyse customer energy consumption.
• Build spatio-temporal models for Electric Vehicle adoption predictions.
• Conduct root-cause analysis, exploratory data analysis (EDA), and ML model error evaluation.
• Validate algorithms based on business and technical needs.
• Collaborate with domain experts and communicate insights to company leaders.

Basic Qualifications (Mandatory):

• Ph.D. in a quantitative field (Engineering, CS, Mathematics, Statistics, etc.).
• Experience with data science processes (model building, optimization, feature engineering).
• Expertise in spatio-temporal statistics, geospatial analysis, and ML techniques for large datasets.
• 2+ years of software development for timeseries and large-scale data feature extraction.
• Proficiency in Python and/or R.

Ability to design and maintain scalable scientific code.

• Strong knowledge of applied statistics and probability.

Desired Qualifications (Optional):

• Experience managing large datasets and cloud platforms (AWS, Azure, GCP).
• Ability to translate business needs into technical requirements.
• Industry experience in utilities, Electric Vehicle infrastructure, or grid integration.
• Strong problem-solving and communication skills.

Job Type: Contract

Pay: Up to $85.00 per hour

Expected hours: 40 per week

People with a criminal record are encouraged to apply

Work Location: Remote