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Hourly Python Data Science Jobs in Michigan (NOW HIRING)

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic ... Strong programming skills in Python and SQL * Knowledge of advanced statistical techniques and ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake ...

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Hourly Python Data Science information

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in Michigan? The most popular types of Python Data Science jobs in Michigan are:
What are popular job titles related to Hourly Python Data Science jobs in Michigan? For Hourly Python Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Michigan look for? The top searched job categories for Hourly Python Data Science jobs in Michigan are:
What cities in Michigan are hiring for Hourly Python Data Science jobs? Cities in Michigan with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you
Senior Data Product Manager

Senior Data Product Manager

Saanvi Technologies

Dearborn, MI • On-site

$116K - $153K/yr

Contractor

Re-posted 4 days ago

Job description

Senior Data Product Manager

Dearborn, MI( Hybrid 4days onsite 1day remote)

W2

Position Description:

We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals. Required Qualifications * Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence, Analytics, or related experience. * Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms. * Experience working with Agile methodologies and product management frameworks. * Ability to translate complex technical concepts into business value. * Strong stakeholder management, communication, and leadership skills. * Experience defining KPIs, product metrics, and business cases. Preferred Qualifications * Master’s degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading enterprise-scale data transformation initiatives. Technical Skills * Data Product Management * Data Warehousing & Data Lakes * Data Modeling * SQL & Analytics * Data Governance & Quality * Cloud Data Platforms * Agile/Scrum * KPI & Metrics Development * API and Data Services Management * Stakeholder Management Success Metrics * Data product adoption and user satisfaction * Data quality and reliability improvements * Reduction in data delivery lead times * Business value generated through analytics and insights * Stakeholder satisfaction and engagement * Achievement of roadmap milestones and product objectives Typical Data Products * Enterprise data platforms * Customer 360 solutions * Product analytics datasets * Operational dashboards and reporting systems * Machine learning feature stores * Data APIs and self-service analytics platforms This description can be tailored further for specific industries such as automotive, healthcare, finance, retail, or manufacturing. Given your background in product lifecycle management and 3DX initiatives, I can also create a Data Product Manager job description focused on automotive digital engineering, PLM, and software-defined vehicle programs.

Skills Required:

Data Management

Skills Preferred:

Product Management

Experience Required:

Specialist Exp.: 10+ yrs in IT; 4+ yrs in concentration

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

Hybrid Role Onsite 4 days a week Key Responsibilities * Define and own the vision, strategy, roadmap, and lifecycle of data products. * Partner with business stakeholders to understand data needs and translate them into product requirements. * Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms. * Prioritize features, enhancements, and technical investments based on business value and customer impact. * Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes. * Drive data governance, metadata management, data quality, and compliance initiatives. * Develop user stories, acceptance criteria, and product backlogs. * Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery. * Gather feedback from users and stakeholders to continuously improve data products. * Communicate product strategy, progress, and outcomes to leadership and stakeholders. * Ensure data products support scalability, security, reliability, and regulatory requirements.
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About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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