Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Soothsayer is seeking Data Scientist who has an interest in solving challenging ML/ AI problems. The Data Science team works on a variety of exciting analytics (ML, AI) projects.
Job Description:
KEY SKILLS
python, Spark, Spark Mlib, SQL, insurance
JOB DETAILS
Education and Experience:
Good to have
Must to have,
Soothsayer Analytics is a Data Science company based out of Livonia, MI and offices in Columbus, OH and offshore in Hyderabad India. Advanced Analytics firm focused on Pattern Recognition and Unstructured Data. Our team actively works with, creates, and researches cutting edge Data Science techniques. We approach each problem individually and architect custom solutions. Our strength lies in our ability to build and productize proprietary algorithms and analytical tools. Advised by 10 industry experts whose domain knowledge we leverage to better architect industry specific solutions. Our delivery partners include 20+ Data Scientists with a combined 75 Patents and 300+ Publications. We collaborate with this brain trust to keep us abreast of state-of-the-art techniques and to help deliver world-class results. We utilize cutting edge Machine Learning and Statistical Techniques to extract Hidden Insights and Patterns from Complex, High Dimensional, and Unstructured Data. Our major clients include: DOW Chemicals, Ford, Visteon, D&B, Timken, US steels, Steelcase, Abercrombie, Express, Stanley Steemer, Whirlpool, AEP, NiSource, GEA, etc.
Soothsayer Analytics is an Equal Opportunity Employer and e-Verify Company.
Soothsayer Analytics engages with companies to solve challenging Data Science problems and actively works with state-of-the-art techniques. We help clients predict the future, optimize their business, and identify micro-patterns and hidden connections that traditional methods cannot. We build custom algorithms and analytic tools, contribute to advanced R&D, and help companies build internal Analytic Centers of Excellence.