Digital Marketing Manager: Growth & Analytics Lead

Groove; Ende; Remote; IDR 2,154,012,000 - 3,231,018,000; Full time

Benefits offered by this job

Industry-leading salary and bonuses

Comprehensive health/dental/vision

Professional development budget

Fully remote with flexible hours

Stock options and retirement plan

Job summary

Groove is seeking a Remote Lead Data Scientist to spearhead Energy Analytics initiatives and lead a distributed team of data scientists. You will architect solutions for predictive maintenance, demand forecasting, and grid optimization, shaping the next era of energy insights.

This role requires strong leadership, advanced modeling, and exceptional communication to align data science with business goals across energy generation, distribution, and consumption.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, or a related quantitative field.
• Minimum of 8+ years in data science, with at least 3 years in a lead/management role.
• Strong programming skills in Python or R, with experience in big data technologies.

Responsibilities

• Lead and mentor a team of data scientists to develop and deploy ML models and analytical solutions for energy analytics.
• Architect and implement advanced analytical frameworks to extract insights from large energy data sets.
• Develop predictive models for equipment failure, energy demand, and renewable energy output.
• Collaborate with engineering, operations, and business stakeholders to translate needs into data science projects.
• Design and execute experiments to evaluate data-driven strategies.
• Communicate complex findings clearly to technical and non-technical audiences.

Skills

Leadership

Data science

Machine learning

Statistical modeling

Python/R

Big data

Communication

Education

Master's or PhD in a quantitative field

PhD in a related field

Tools

Spark

Hadoop

Job description

Remote Lead Data Scientist - Energy Analytics

Our client is seeking an exceptional Lead Data Scientist to spearhead their Energy Analytics initiatives. This is a fully remote position, offering you the opportunity to work from anywhere while shaping the future of energy consumption and production through advanced data insights. You will lead a team of data scientists, architecting solutions for complex challenges such as predictive maintenance, demand forecasting, and grid optimization. If you are passionate about leveraging data to drive innovation in the energy sector and excel in leading remote teams, this role is for you.

Key Responsibilities

• Lead and mentor a team of data scientists in developing and deploying machine learning models and analytical solutions for the energy sector.
• Architect and implement advanced analytical frameworks to extract actionable insights from large, complex datasets related to energy generation, distribution, and consumption.
• Develop predictive models for equipment failure, energy demand, and renewable energy output.
• Collaborate with engineering, operations, and business stakeholders to identify key analytical opportunities and translate business needs into data science projects.
• Design and execute A/B tests and experiments to evaluate the impact of data-driven strategies.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 8 years of experience in data science, with at least 3 years in a lead or management role.
• Proven expertise in advanced statistical modeling, machine learning algorithms, and data mining techniques.
• Strong programming skills in Python or R, and experience with big data technologies (e.g., Spark, Hadoop).
• Experience in the energy industry or with energy-related data is highly preferred.
• Excellent leadership, communication, and problem-solving skills, with a strong ability to manage remote teams effectively.

Benefits

• Industry-leading salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Significant budget for professional development, including conferences and training.
• Fully remote work arrangement with flexible hours.
• Stock options and retirement savings plan.