Data Scientist
Spectraforce
Warren Township, New Jersey
2 hours ago
Job Description
Position Title: Data Scientist
Work Location: Warren, NJ (Hybrid work schedule - 2 days in office)
Assignment Duration: 5 months (possibility of extension)
Work Arrangement: Hybrid
Position Summary:
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.
Key Responsibilities:
• 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.
Qualification & Experience:
• Will have 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
• Compile, integrate, and analyze data from multiple sources to answer business questions
• Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritization and adoption.
• Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms
• Have 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.
• 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
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/hr.
Work Location: Warren, NJ (Hybrid work schedule - 2 days in office)
Assignment Duration: 5 months (possibility of extension)
Work Arrangement: Hybrid
Position Summary:
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.
Key Responsibilities:
• 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.
Qualification & Experience:
• Will have 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
• Compile, integrate, and analyze data from multiple sources to answer business questions
• Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritization and adoption.
• Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms
• Have 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.
• 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
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/hr.