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.

Data Scientist

Key Skills

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