Data Scientist

Job Location:

Bucharest - Romania

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

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:

Bachelors 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 Masters 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 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 b...

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:

Bachelors 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 Masters 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.