Senior Data Scientist (PythonDatabricksTime Series)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
We are looking for a Senior Data Scientist > time series datasets within a Databricks environment.
- Develop a Python library and example notebooks to enable domain experts to efficiently analyze complex datasets
- Build and maintain automated batch processing pipelines to enrich measurement data
- Work closely with data scientists engineers and business stakeholders to align technical solutions with user needs
- Contribute to the design of reusable high-quality and production-ready code
- Support data exploration and visualization through notebooks and potential dashboarding solutions
- Participate in code reviews testing and CI/CD processes to ensure reliability and scalability
Qualifications :
- Strong Python development experience (5 years).
- Solid SQL knowledge for data extraction and manipulation.
- Hands-on experience with time series data analysis.
- Proficiency with Jupyter Notebooks.
- Experience with Git / version control systems.
- Ability to build scalable and maintainable data solutions.
Good To Have Skills:
- Experience with Databricks.
- Exposure to cloud platforms (preferably Azure).
- Experience with Apache Spark / PySpark.
- Experience building user-facing Python libraries.
- Familiarity with Plotly Dash (for dashboards / UI).
- Knowledge of CI/CD pipelines (testing deployment automation).
- Background or interest in chemistry / chemical engineering / electrochemistry.
- Product mindset (user-centric thinking feature discussions).
Additional Information :
- Exposure to scientific domains (chemistry electrochemistry engineering) is a plus.
Remote Work :
Yes
Employment Type :
Full-time
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