Senior Data Scientist at Peterson Technology Partners (Lake Forest, IL)

Primary Function:
Data Science application areas span across Recommender Systems, Inventory optimization Solutions, Search, etc. Projects often encompass research, problem-solving, model development, testing, scaling and implementing in production. Sr. Data Scientists help develop dynamic solutions using statistical, machine learning and deep learning methodologies. They are responsible for conceptualizing, developing and deploying data science solutions across multiple business areas and are expected to lead one of the workstreams in a project with minimal supervision. 

Principal Duties & Responsibilities: 

• Participate in end to end data science project lifecycle - data mining and exploration, model development, and evaluation, solution deployment in production, measurement, and tracking; 

• Use machine learning, deep learning and statistical analytical techniques to create scalable solutions for business problems; 

• Conduct analysis of text data to understand the relationship between product assortment and user search queries, industries, and job functions; 

• Transform data into actionable insights and recommendations, and present clear and concise results; 

• Collaborate with cross-functional teams and communicate results and ideas to key decision-makers; 

• Design, validate and evaluate solutions using R, Python, SQL and other programming tools

Preferred Education & Experience: 

• Masters / Ph.D. degree in a technical/quantitative field required (data science, computer sciences, statistics, mathematics, etc.) 

• 3+ years of relevant work experience 

• Expert level usage of SQL 

 Advanced skills to work with large, complex, and disparate data (accessing, connecting, and analyzing) 

• Demonstrable proficiency in coding (Python, R, Spark, Scala) and programming concepts 

• Ability to build, test, and validate machine learning and deep learning applications including but not limited to, Regression, Classification, Decision Trees, Bayesian, Clustering, CNN, LSTM, Text Mining, etc. 

• Experience in working with version control tools like GitHub / BitBucket and writing shell scripts 

• Experience with TensorFlow, Keras or similar tools preferred 

• Experience with recommender systems is a plus 

• Ability to mine and explore data to derive insights and business value from data 

• Strong analytical and problem-solving skills

• Ability to handle multiple priorities against deadlines 

by via developer jobs - Stack Overflow