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Associate Data Science Analyst Jobs in Mount Pleasant, MI

Dow - THE DOW CHEMICAL COMPANY

Sr. IT Analyst

Midland, MI · On-site

$73K - $98K/yr

Work with data leads to explain and identify the scope of master data. Coordinate the ... DOW) is one of the world's leading materials science companies, serving customers in high-growth ...

Dow

Sr. IT Analyst

Midland, MI · On-site

Our purpose is simple - to deliver a sustainable future for the world through science and ... Gather and analyze data to perform a functional and technical requirements analysis - with emphasis ...

Dow

IT Solution Manager

Midland, MI · On-site

Serve as a primary technical mentor for Associate and mid-level Platform Engineers, elevating the ... Engineers, Data Scientists, AI/ML Engineers, and Business Analysts--as well as non-technical ...

Dow Chemical

Sr. IT Analyst

Clare, MI · On-site

$110 - $150/hr

... science and collaboration.If youre looking for a challenge and meaningful role, youre in the right place. About you and this role Dow has an exciting opportunity for a Sr. IT Analyst on the ED&A Data ...

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All JobsAssociate Data Science Analyst JobsAssociate Data Science Analyst Jobs in Mount Pleasant, MI

Associate Data Science Analyst information

See Mount Pleasant, MI salary details

$31.4K

$76.3K

$125.5K

How much do associate data science analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for associate data science analyst in Mount Pleasant, MI is $76,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 per year, depending on experience, location, and employer.

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

What cities near Mount Pleasant, MI are hiring for Associate Data Science Analyst jobs?

Cities near Mount Pleasant, MI with the most Associate Data Science Analyst job openings:

Associate Data Science Analyst jobs near you

Digital Acceleration Leader - Analytical & Decision Science

DuPont

Midland, MI • On-site

$150 - $230/hr

Other

Posted 4 days ago

DuPont rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

27th of 100 rated chemical manufacturers

Job description

# Digital Acceleration Leader - Analytical & Decision Science직무 유형 경력Postal Code 48642 Midland, Michigan직무 ID 249866W카테고리 과학 및 혁신**게시일** 08/03/20262개 지역에서 채용 중인 직무* Wilmington, Delaware, United States of America* Midland, Michigan, United States of America지금 지원듀폰은 필수적인 혁신을 통해 전 세계가 번영할 수 있도록 이바지하는 것을 목표로 삼고 있습니다. 우리는 중요한 사안을 해결하고자 노력합니다. 예를 들어 지구상 10억 명이 넘는 인구에게 깨끗한 물을 공급하거나, 스마트폰에서 전기차에 이르는 일상적인 기술 장치에 필수적인 소재를 생산하고, 전 세계 근로자를 보호하는 것 등이 우리가 생각하는 중요한 사안입니다. 세계 최고의 인재들이 듀폰을 직장으로 선택하는 수많은 이유를 알아보세요. 듀폰에 입사해야 하는 이유 | 듀폰 채용 https://careers.dupont.com/kr/ko/whyjoinusAt DuPont, we are accelerating innovation by transforming measurement science into structured, decision-ready data. The Analytical & Decision Science (ADS) Digital Acceleration Leader will play a key role in advancing how DuPont leverages connected laboratory data, digital technologies, and AI/ML capabilities to drive innovation across R&D, Application Development, Manufacturing Technology, and Product Stewardship & Regulatory organizations.This role is ideal for a hands-on scientific and digital leader with a proven ability to translate complex scientific data into actionable insights. The successful candidate will help establish the standards, workflows, and digital pathways needed to convert analytical and measurement science data into reusable, structured information within existing digital platforms, and apply that information to solve critical business and technical challenges.Working closely with ADS, business innovation teams, and Information Technology (IT), this leader will accelerate project delivery, improve decision-making, and unlock greater value from both current and historical scientific data. Success in this role requires a combination of strategic vision, technical expertise, practical implementation experience, and the ability to influence across a highly matrixed organization. The individual will also help build organizational capability by advancing data-enabled measurement science and driving adoption of scalable, interoperable, and automated ways of working.ResponsibilitiesDevelop and implement pathways that convert measurement science data into structured, reusable information within LIMS and other digital platforms to support innovation.Lead the integration of laboratory measurements from ADS and business laboratories into connected digital systems, including the capture and utilization of historical data.Partner with R&D, Application Development, Manufacturing Technology, and Product Stewardship & Regulatory teams to identify opportunities where structured data can accelerate the development of products, formulations, processes, and technical solutions.Navigate complex technical and organizational challenges, identify practical solutions, and drive implementation through influence and collaboration.Advance automation across measurement science workflows, including method development, data acquisition, analysis, interpretation, and reporting.Apply data mining, data science, and digital technologies to extract value from current and historical scientific information.Establish data standards and improve data fluency across laboratories, sites, and businesses to enable scalable and reusable solutions.Collaborate with IT, digital teams, and laboratory automation resources to evaluate, pilot, and deploy tools that connect scientific workflows with enterprise digital capabilities.Provide hands-on leadership through coaching, training, project engagement, and knowledge-sharing forums that build digital and data capabilities across the organization.QualificationsBachelor's degree in Chemistry, Chemical Engineering, Materials Science, Data Science, Computer Science, Engineering, or a related technical field; Advanced degree preferred.Minimum of 10 years of experience applying digital technologies, data science, automation, or structured data approaches to solve innovation, manufacturing, or technical service challenges.Experience with LIMS, ELN platforms, connected laboratory technologies, automation workflows, or related scientific data systems.Demonstrated ability to lead and influence cross-functional teams within a matrixed technical organization.Proven ability to translate scientific and business needs into practical data, automation, and digital solutions.Strong learning agility and interest in emerging technologies, including AI/ML, automation, digital science, and advanced analytics.Excellent communication skills with the ability to engage scientific, business, IT, and leadership audiences.Demonstrated success operating in ambiguous environments, establishing direction, and delivering measurable business impact.Ability to travel up to 25%Additional InformationThis position requires access to export-controlled technology, technical data or defense services, as such, employment will be contingent upon the candidate’s ability to access export-controlled technology, technical data or defense services as authorized pursuant to US regulation or an export authorization obtained by DuPont approved by the controlling US government agency #J-18808-Ljbffr

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