Narvar
Data Scientist
Job Description
About the job
The Data Scientist will be responsible for designing, building, and implementing advanced analytical models to extract insights from complex data sets. The successful candidate will work collaboratively with cross-functional teams, including Data Engineers, Machine Learning Engineers, Data Analysts, and Business Stakeholders, to deliver actionable insights that drive business value.
What you will do
- Designing, building, and implementing advanced analytical models using machine learning, deep learning, and statistical techniques to extract insights from complex data sets.
- Collaborating with cross-functional teams to translate business requirements into technical solutions.
- Developing and implementing data visualization tools and dashboards to communicate insights effectively to stakeholders.
- Designing and conducting experiments to test hypotheses and validate assumptions.
- Collaborating with Data Engineers to optimize data pipelines and improve data quality.
- Developing and maintaining documentation for analytical models, data pipelines, and insights.
- Staying up-to-date on emerging trends in data science, machine learning, deep learning, statistical analysis, and related fields.
- Collaborating with Machine Learning Engineers to deploy models into production environments.
- Communicating findings effectively to stakeholders through written reports, presentations, and interactive dashboards.
What you will bring
* Ph.D. or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.* 3+ years of experience in data science, machine learning, deep learning, statistical analysis, or related fields.* Strong programming skills in Python, R, SQL, and/or other relevant languages.* Experience with machine learning frameworks such as TensorFlow, Keras, Scikit-learn, or similar.* Strong mathematical and statistical skills, including proficiency with probability theory, linear algebra, optimization, and statistics.* Experience with data visualization tools such as Tableau, PowerBI, or similar.* Strong problem-solving abilities and the ability to work independently and collaboratively in a team environment.* Excellent written and verbal communication skills, with the ability to explain complex concepts clearly to non-technical stakeholders.* Strong time management skills and the ability to prioritize competing projects.
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