Data Scientist

Payrate: $59.45 - $59.45/hr. Responsibilities: • Lead and/or support key data science and analytics projects for Intelligent Solutions Group. • Collect business requirements using a variety of methods, such as interviews, document analysis workshops, and workflow analysis, to express the requirements in terms of target user roles and goals. • Conduct research using primary data sources and select information needed for the analysis of key themes and trends. • Utilize analytics techniques to clean, preprocess, explore, and analyze data sets to extract actionable insights. • Identify, collect, structure, process and persist data required for downstream analytic consumption. • Use data from a wide range of sources to analyze key themes and translate it into meaningful features to quantify possible impacts on the business. • Develop and implement statistical models, machine learning algorithms and optimization routines to address complex business problems and drive actionable insights. • Collaborate with cross-functional teams to understand their data needs and provide analytical support. • Maintain an accurate and transparent backlog of refined work to inform product timelines. • Present findings in meetings and translating results into reports and presentations. • Participate in peer-reviews regarding both concept proposals and solution reviews. • Commit to working in an Agile-based environment and becoming a champion of the process. • Stay up to date on industry trends and advancements in the field of data science and identifying opportunities to employ them in your work. • Participate in hack-a-thons and be an advocate for demonstrating the art of possible to others. Required Skills/Experience: • Experience with Python and SQL programming languages • Strong knowledge of data manipulation and analysis • Deep experience working with Data frames to prototype and manage complex data ETL and pre-processing and model pipelines for analytic consumption • School and/or work experience analyzing text and/or numerical data • Experience with applied statistical analysis and machine learning algorithms • Excellent communication and teamwork abilities • Strong analytical skills and attention to detail • A passion for problem-solving and a desire to learn and grow in the field of data science. • Work with full competence to shift into and out of a mental mindset associated with assessing the facts and circumstances of the current situation and/or environment and making the appropriate/innovative adjustments to thinking and work habits to thrive in any scenario. • Work independently and without supervision • Provide guidance and training to others on analyzing data trends for use in reports to help guide decision making. Desired Skills/Experience: • Master’s or PhD Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field. • Knowledge of PySpark, Git, GitHub, Bash, Databricks • Databricks or AWS Associate/Professional certifications • Expertise in relational database systems, data models, and schema creation • Experience working with BoMs, agronomic and telematics datasets • Strong software engineering fundamentals • Experience with Data Engineering and/or MLOps • Knowledge of transformers, Large Language Models (LLMs) and/or Artificial Intelligence (AI) Education: • Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering or related field. Pay Transparency: The typical base pay for this role across the U.S. is: $59.45 - $59.45 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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