Powin · 3 days ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

5+ years exp

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EnergyEnergy Storage

Growth Opportunities

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Responsibilities

Develop and deploy models that detect and surface anomalous signals in storage system telemetry

Model and estimate core attributes of battery performance, such as internal resistance and state-of-health

Experiment with novel machine learning frameworks and analytical approaches, to spur development of new data products

Generate data summaries, visualizations, and reports that aggregate data into high-level indicators of system performance

Support the Data team’s roadmap by creating, planning, and prioritizing team initiatives

Contribute to technical papers and presentations on Data team analyses and products

Lead and mentor junior team members on data science, software development, and other associated work

Perform other duties as assigned

Qualification

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Data SciencePythonSQLTime Series AnalysisAnomaly DetectionMachine LearningSoftware DevelopmentVersion ControlCode ReusabilityTestingDocumentationProject PlanningComputer ScienceMathematicsAnalytical SkillsMeeting DeadlinesTeam CollaborationCommunicationFlexibilityEnergy storageRenewable energyDatabricks product offerings

Required

At least five years of relevant experience in data science

MA/MS degree or equivalent relevant experience

Advanced proficiency in Python and SQL

Demonstrated experience with time series analysis, anomaly detection, and general machine learning, and proven use in a professional setting

Strong understanding of software development best practices, such as version control, code reusability, testing, and documentation

Experience planning and collaborating on large projects from beginning to end while meeting deadlines

Strong communication skills, including an ability to effectively engage and collaborate with technical and non-technical teams across engineering, sales, and operations

Background in computer science, mathematics, engineering, or related technical field

Excellent analytical and problem-solving skills

Ability to work flexible hours as needed to support international teams

Strong proficiency in MS Office applications (Excel, Word, PowerPoint)