• Data Scientist -Non NLP

    Insight Global (Woonsocket, RI)


    Job Description

    Summary

    We are seeking an experienced Data Scientist to join our growing analytics team. In this role, you will lead the development, validation, and deployment of machine learning models that drive business value across our organization. The ideal candidate will combine strong statistical knowledge with practical experience implementing production-ready ML solutions that solve complex business problems.

    Key Responsibilities

    Design and develop sophisticated machine learning models to address business challenges and opportunities

     

    Lead the entire model lifecycle from conceptualization through deployment and monitoring

     

    Perform rigorous model validation and testing to ensure reliability and performance

     

    Collaborate with data engineers to build efficient data pipelines for model training and inference

     

    Implement model deployment strategies that ensure seamless integration with production systems

     

    Develop monitoring frameworks to track model performance and detect drift

     

    Communicate complex technical concepts and model results to non-technical stakeholders

     

    Stay current with the latest advancements in machine learning techniques and tools

     

    Mentor junior data scientists and contribute to establishing best practices

     

    Partner with cross-functional teams to identify high-impact opportunities for ML applications

    Compensation:

    $60/hr to $70/hr

     

    Exact compensation may vary based on several factors, including skills, experience, and education.

     

    Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    Advanced degree (MS or PhD) in Computer Science, Statistics, Mathematics, or related field

     

    5+ years of professional experience in data science or related field

     

    Strong track record of developing and deploying machine learning models in production environments

     

    Expertise in model validation techniques, including cross-validation, A/B testing, and performance metrics

     

    Proficiency in Python and its data science libraries (scikit-learn, TensorFlow, PyTorch, etc.)

     

    Experience with model deployment frameworks and MLOps practices

     

    Strong understanding of statistical concepts and experimental design

     

    Excellent data manipulation and analysis skills using SQL and Python

     

    Experience with version control systems (Git) and collaborative development

     

    Proven ability to translate business requirements into technical solutions

     

    Strong communication skills with the ability to present findings to technical and non-technical audiences Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI Platform)

     

    Knowledge of containerization technologies (Docker) and orchestration tools

     

    Experience with feature stores and automated ML pipelines

     

    Familiarity with deep learning architectures and applications

     

    Understanding of data privacy, fairness, and ethical considerations in ML

     

    Experience with distributed computing frameworks for large-scale model training

    Contributions to open-source projects or research publications null

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].