Data scientist Jobs in Berkeley, CA

Job Title: Data Scientist, Expert- GRID

Job ID: 25-06753

Location: Oakland, CA

Duration: 06 months on W2 Contract

Description:

*LOCAL CANDIDATES ONLY* HYBRID. 2-3 days per week at OGO

TOP THINGS:

• Ability to build models around data using python or R
• Ability to get up to speed quickly
• Ability to access data systems to extract data including SAP
• Ability to review data and come up to their own conclusions

Key Responsibilities:

• Predictive Modeling: Develop and implement machine learning models to predict task durations, resource needs, and potential human errors in substation work.
• Data Analysis: Analyze historical work data, scheduling information, crew productivity, weather impacts, and other relevant factors to identify patterns and insights.
• Forecasting: Build advanced forecasting models to improve planning accuracy for substation work, considering dynamic variables such as weather events and crew efficiency.
• Anomaly Detection: Create algorithms to detect anomalies and predict human errors, providing actionable insights to improve safety and performance.
• Opportunity Identification: Use data-driven approaches to highlight opportunities for process improvement and efficiency gains.
• Cross-functional Collaboration: Work closely with operations, engineering, and planning teams to integrate analytical insights into decision-making processes.
• Reporting & Visualization: Develop clear and effective data visualizations and reports to communicate findings to stakeholders.
• Continuous Improvement: Stay up-to-date with the latest trends and advancements in data science, machine learning, and predictive analytics to ensure our methodologies remain cutting-edge.

Required Qualifications:

• Education: Master's or PhD in Data Science, Systems Engineering, Computer Science, Statistics, or a related field.
• Experience: Minimum 3-5 years of experience in data science, with a focus on predictive analytics, machine learning, and operations analysis.

Technical Skills:

• Proficient in Python, R, SQL, and data analytics tools.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong knowledge of predictive modeling, statistical analysis, and time series forecasting.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Domain Knowledge: Experience in the energy sector, utilities, or substation operations is a plus.
• Analytical Thinking: Ability to translate complex data into actionable insights.
• Communication Skills: Strong ability to communicate complex analytical results to both technical and non-technical audiences.

The hourly rate for this position is between $109.00-$120.00 per hour.

Compensation:

Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].