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Data Scientist

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Job Description - Data Scientist

Data Scientist

We are looking for a skilled Data Scientist to develop advanced battery health algorithms powered by real-time vehicle data using state-of-the-art statistical and machine learning techniques. 

Key Responsibilities:
  • Develop data analysis pipelines to interpret vehicle telemetry and battery usage patterns across various vehicle applications.
  • Design, build, validate, and maintain predictive models that deliver battery health insights for connected battery solutions.
  • Analyze machine and production-line data to better understand manufacturing processes and operational performance.
  • Develop and maintain ML/statistical models aimed at:
    • improving production throughput,
    • reducing scrap rates,
    • enhancing product quality,
    • and optimizing manufacturing efficiency.
  • Collaborate closely with data scientists, engineers, and business stakeholders to design effective, data-driven solutions.
  • Communicate analytical findings and decision-making processes to both technical and non-technical audiences.
  • Support cross-functional teams across the organization with machine learning and statistical modeling expertise.
Required Qualifications:
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related technical field.
  • 3+ years of professional experience in data science, machine learning, or applied statistics, or equivalent academic research experience through a Master's or PhD program.
  • Strong programming skills in Python, Julia, or R, including experience with ML/statistical libraries such as:
    • Scikit-learn,
    • SciPy,
    • Statsmodels,
    • PyTorch,
    • and Keras.
  • Experience using BI and visualization tools such as Power BI or Tableau.
  • Strong knowledge of machine learning methods including:
    • supervised and unsupervised learning,
    • feature selection,
    • dimensionality reduction,
    • regression,
    • classification,
    • clustering,
    • and time-series analysis.
  • Experience working with databases and writing SQL queries.
  • Hands-on experience developing, training, validating, and deploying ML/statistical models.
Original job Data Scientist posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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