Data Scientist – Conformity, Mid-Level

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Data Scientist focused on conformity, offering a contract length of "unknown" and a pay rate of "unknown." Required skills include expertise in data analysis, proficiency in Python/R/SQL, and experience with compliance datasets.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Milwaukee, WI
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🧠 - Skills detailed
#Datasets #Programming #Data Mining #R #Data Modeling #Big Data #Databases #SQL (Structured Query Language) #Python #Data Management #Compliance #ADaM (Analysis Data Model) #Data Analysis #Computer Science #Statistics #Monitoring #Visualization #Data Science #SAP
Role description
Verified Job On Employer Career Site Job Summary: Synectics Inc. is a company focused on providing actionable insights through data analysis. They are seeking a Data Scientist to support conformity programs and develop data-driven solutions to ensure compliance with regulations. Responsibilities: • Supports existing conformity programs, methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. • Interacts with product and service teams to identify questions and issues for data analysis and experiments. • Supports the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. • Identifies, interprets and communicates insights and findings from analysis to key stakeholders. • Support development, implementation and execution of data-driven solutions to monitor and ensure compliance with applicable laws, regulations, and company policies. • Collaborate with compliance and sustainability subject matter experts to understand compliance requirements and translate them into analytical data models. • Gather, clean, and analyze data from multiple big data sources to effectively meet compliance and business requirements. • Design and maintain databases and data systems necessary for compliance monitoring and reporting. • Conduct thorough data audits to ensure accuracy and integrity of the data used in compliance models. • Provide training and support to other staff members on compliance-related data practices and tools. • Support current and ongoing product environmental conformity activities related to PFAS and other substances of concern. • Analyze and assess complex data regarding PFAS content for reporting to the Canadian Environmental Protection Act registry. Qualifications: Required: • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. • Expertise in data analysis, data modeling, and data reporting for key manufacturing and compliance related datasets or previous work experience as a data analyst or data scientist. • Strong knowledge of data mining techniques and demonstrate ability to integrate multiple, large datasets in a complex analysis with clear business outcomes. • Proficiency in programming languages such as Python, R, or SQL. • Excellent understanding of data management and visualization tools. • Strong analytical, systems thinking, and problem-solving skills with high attention to detail. • Excellent communication and interpersonal skills to effectively convey complex data insights. • Ability to work independently and collaboratively in a fast-paced environment. Preferred: • Previous experience in an ERP system such as SAP in a manufacturing operational setting is a plus. • Previous experience with compliance software or compliance related datasets is a plus. Company: Synectics Inc. is a premier national staffing firm founded in 1984, headquartered in Chicago, Illinois. Founded in 1984, the company is headquartered in Chicago, Illinois, USA, with a team of 201-500 employees. The company is currently Growth Stage.