Position: Data Scientist

Location: Oakland, CA (Remote)

Pay: $85 to $90/hour (Depending on experience)

Experience: 4 years in data science (or 2 years, if possess a master’s degree, as described above).

Education:

Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Master’s degree in one of the above areas.

Type: Full-time; Contract (January 2027)

Schedule: Monday - Friday

Conde Group is seeking a Data Scientist to join a growing and dynamic team!

Job Description:

Prioritize asset management by developing wildfire risk models.
Build computer vision models to enhance, accelerate, and automate asset inspection processes.
Predict electric distribution equipment failures before they occur to enable proactive maintenance.
Develop the analytical framework for our client's Public Safety Power Shutoff program.
Optimize non-wires alternative resource portfolios, such as the Oakland Clean Energy Initiative, considering location and resource adequacy.
Analyze customer demographics, program participation, and SmartMeter interval data to create targeted propensity models for customer-owned distributed energy resource technologies.
Identify and investigate anomalous customer natural gas usage to detect and resolve hazardous customer-side leaks.
Lead discussions with business stakeholders and subject matter experts to understand key business needs and technical requirements.
Scope and prioritize modeling projects to maximize business impact.
Apply data science, machine learning, and analytical modeling methods to develop reproducible and defensible predictive models.
Serve as the technical lead for computer vision model development, overseeing data labeling, model training, and evaluation.
Extract, transform, and load data from diverse sources across the company for model building and analysis.
Independently write and document Python code for data science tasks, including feature engineering and machine learning modeling.
Document and present data science experiments and findings to other data scientists and business stakeholders.
Act as a peer reviewer for models and analyses developed by other data scientists.
Develop and deliver summary presentations to business teams.
Present findings and recommendations to executives and cross-functional management.
Build and maintain strong relationships with business units and external agencies.

Position Requirements:

Demonstrated knowledge of data science standards, processes (e.g., model evaluation, optimization, feature engineering), and best practices.
Proficiency in software engineering, statistics, and machine learning techniques for data science deployment.
Competency in commonly used data science and operations research programming languages, packages, and tools.
Hands-on and theoretical experience with data science and machine learning models and algorithms.
Ability to synthesize complex information into clear insights and translate them into actionable decisions.
Strong ability to explain technical concepts, including statistical inference, machine learning algorithms, software engineering, and model deployment pipelines.
Solid understanding of mathematical and statistical principles underlying data science.
Expertise in systems thinking and structuring complex problems.
Ability to mentor, coach, and develop career-level data scientists in AI/ML techniques and technologies.
Preferred experience with computer vision model development and AWS technologies (S3, GroundTruth, SageMaker).

Conde Group does not just connect you with a job; we offer a Professional Mentoring & Education Program to help you be great at your job, love it, and grow.

Conde Group is part of Array Corporation, the leading technology-enabled workforce solutions company whose mission is to fix how labor is bought, sold and delivered to enable universal access to the American Dream.

We are proud to be an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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