Address About the job:
#LI-HC1
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.
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.
#LI-HC1
