About the Role
- - - - What the Candidate Will Do ----
- Lead and execute data science projects from concept to deployment.
- Apply advanced statistical and machine learning techniques to analyze large datasets.
- Develop predictive models to solve complex business problems.
- Design and conduct experiments, including A/B tests, to evaluate the impact of changes.
- Collaborate with cross-functional teams to identify data-driven opportunities and solutions.
- Communicate findings and insights to stakeholders through presentations and reports.
- Mentor and provide guidance to junior data scientists.
- Stay current with the latest advancements in data science and incorporate new techniques as appropriate.
- Develop and maintain scalable data pipelines and ETL processes.
- Drive the continuous improvement of data science practices and processes within the team.
- - - - Basic Qualifications ----
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 5+ years of experience in data science or related fields.
- Strong proficiency in programming languages such as Python or R.
- Experience with statistical modeling, machine learning, and data mining techniques.
- Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).
- Solid understanding of experimental design and A/B testing.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Strong problem-solving skills and ability to translate business problems into data science projects.
- - - - Preferred Qualifications ----
- Experience leading data science projects and mentoring junior data scientists
- Excellent communication and collaboration skills.
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .