Address
Form of workDescription:
Job Duties:
- Design and build new data set processes for modeling data mining and production purposes.
- Determine new ways to improve data and search quality and predictive capabilities.
- Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
- Develop prototypes proof of concepts algorithms predictive models and custom analysis.
Minimum Qualifications:
- PhD in Computer Science Statistics or related field OR a Master's degree or equivalent in Computer Science Statistics or related field and 2 years of related experience.
- Knowledge of machine learning information retrieval data mining statistics NLP or related field.
- Programming skills in one of the following languages: Java Scala C/C.
- Knowledge of one of the scripting languages such as Python or Perl.
- Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.
- Experience working with large data sets and distributed computing tools Map/Reduce Hadoop Hive or Spark.
- Working knowledge of Relational Data Base Systems and SQL.
- Experience managing end-to-end machine learning pipeline from data exploration feature engineering model building performance evaluation and online testing with big data set.
- Excellent communications and organizational skills
- Prior experience in this area with eCommerce or Online Retail would be a plus
- Experience in Marketing Mix Modelling and Multi Touch Attribution
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
