Our client is the world’s leading applied artificial intelligence and advanced analytics provider. They use artificial intelligence to identify subtle and valuable patterns of human interaction in order to pair individuals on the basis of behavior, leading to more successful interactions and measurable increases in enterprise profitability. They operate throughout the world and have measurably driven billions of dollars in incremental value for their clients.
We are looking for an experienced Lead Data Scientist (Decisioning)for our client's growing team.
Requirements
Job Requirements
- Working in the client environment to harness the client database in order to produce high-quality data sets that will be used in modeling pipelines
- The role consists of wrangling and analyzing data with cutting-edge tools, e.g. SQL, Phyton, and R
- The data scientist is expected to work collaboratively with the client, data engineering teams, researchers, and software engineers
- Ensure data quality and integrity, interpret and analyze data problems
- Conceive, plan, and prioritize data projects, build analytic systems and predictive models
- Test performance of data-driven products
- Experiment with new models and techniques, align data projects with organizational goals
Candidate Requirements
- MSc in Statistics, Econometrics, Mathematics, Operations Research, Artificial Intelligence, or any other relevant field
- Strong experience with statistics and machine learning
- Strong knowledge of SQL, R, and Phyton
- Fluency in English
- Similar experience in data science
- Similar experience leading data science teams
- Strong ability for story-telling with data
- Strong business insight
- Willingness to acquire new skills and work collaboratively
- Very good communication skills
- Ph.D. in one of the fields listed above is a plus
- Strong software development and data engineering skills is a plus
- Having a strong research background is a plus