Data Scientist

Description

• Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation.
• Coordinate and manage competing priorities across portfolio of AI projects.
• Work with other Data Scientists, Data Engineering, Machine Learning Engineers and product teams on the development of data science products to solve business problems
• Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Responsible AI policy and standards.
• Research cutting-edge techniques and tools to ensure data science solutions are competitive.
• Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence.
• Compile, integrate, and analyze data from multiple sources to answer business questions
  
  

Qualifications

• At least 4 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems.
• Can coordinate and manage competing priorities across a portfolio of projects
• Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritization and adoption.
• Scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms
• A deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Optimization, Reinforcement Learning, Bayesian Statistics, NLP etc.)
• Proficient in Python.
• Good knowledge in mining large & complex data sets using SQL and Spark.
• Strong communication skills
  
  

Preferred Qualifications

• Will be curious, enjoy problem solving and have empathy for the problems you are challenged with
• Working knowledge on data science frameworks and toolkits (SciPy, Scikit-Learn, Keras, PyTorch, Etc.)
• Experience with Git, Databricks and Microsoft Azure technical stack
• Prior exposure to Agile methodologies
• Experience building large scale machine learning systems
  
  

Benefits

Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics.

Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.

Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st.

Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification.

Synectics is an equal opportunity employer.