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Remote Data Scientist Jobs in Rochester, MI (NOW HIRING)

Data Engineer

Southfield, MI · On-site +1

$105K - $126K/yr

This position also includes applied data science work integrated into production workflows ... The company is also open to a remote arrangement for candidates based in the U.S., with periodic ...

New

Data Engineer

Southfield, MI · On-site +1

$105K - $126K/yr

This position also includes applied data science work integrated into production workflows ... The company is also open to a remote arrangement for candidates based in the U.S., with periodic ...

New

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Nurse Practitioner: Remote Urgent Care

Detroit, MI · Remote

$109K - $151K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Showing results 1-20

Remote Data Scientist information

See Rochester, MI salary details

$34.5K

$113K

$180.9K

How much do remote data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data scientist in Rochester, MI is $112,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Rochester, MI?

The most popular types of Data Scientist jobs in Rochester, MI are:

What are popular job titles related to Remote Data Scientist jobs in Rochester, MI?

For Remote Data Scientist jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Rochester, MI look for?

The top searched job categories for Remote Data Scientist jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Remote Data Scientist jobs?

Cities near Rochester, MI with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Rochester, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,975 per year, or $54.3 per hour.

Data Engineer

123Net

Southfield, MI • On-site, Remote

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


123Net rating

6.0

Company rating: 6.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

85th of 101 rated telecommunications companies


Job description

Build a modern analytics environment that leaders and stakeholders can trust. 123NET is a Michigan-based fiber infrastructure and connectivity provider, founded in 1995 and headquartered in Southfield. In this hybrid role, you will help establish a Snowflake-centered, governed data foundation and a Power BI reporting layer used for executive, accounting, and investor-facing metrics. The work is hands-on and highly visible, with direct support for monthly executive reporting and quarterly sponsor reporting. What you'll be building includes reliable pipelines into Snowflake, governed reporting with consistent metrics, address and location master data that standardizes how the business thinks about customers and serviceability, and analytics that support commercial scoring, market models, churn-risk, customer lifetime value, and forecasting. This position also includes applied data science work integrated into production workflows. Responsibilities Design, build, and maintain pipelines into Snowflake from operating and financial systems including CRM, ERP, billing, network inventory, call center, and third-party datasets, with data quality checks, validation, and reconciliation. Develop and govern an address master data product: standardization, deduplication, geocoding accuracy, unit normalization, and serviceability logic to support sales, network planning, and finance. Develop and govern Power BI semantic models , executive dashboards, and functional scorecards, including maintaining the metric dictionary, source-to-metric mapping, and dashboard standards for company-wide consistency. Build revenue , recurring revenue, churn, and product reporting for accounting, and support close-cycle reporting with reconciliation between operating systems and the system of record. Automate recurring KPI reporting used in monthly executive reviews and quarterly sponsor and board reporting. Create commercial prospect and territory scoring, TAM/SAM and FTTH market models, churn-risk and CLV analytics, and forecasting, and deliver usable outputs into Power BI and CRM workflows . Support critical data mapping and migration as legacy internal systems are replaced with commercial platforms, helping retire duplicate or conflicting legacy reporting. Requirements 4+ years in data engineering, analytics engineering, or data science building production data products. Strong, current Snowflake experience: warehouse and data-mart design, dimensional modeling, performance and cost management, and ELT pipeline development. Strong Power BI experience including semantic model design, DAX , governed workspaces and datasets, row-level security , and executive-facing dashboards. Expert SQL and strong scripting abilities. Hands-on experience with address and location data , including standardization, geocoding, deduplication, spatial joins, and challenges of matching addresses across systems. Experience building finance or accounting reporting such as revenue, recurring revenue, churn, or close-cycle reporting with strong reconciliation discipline. Comfort working with imperfect, evolving business data, plus communication skills to explain data issues and insights to non-technical executives. Bachelor's degree in a quantitative field (or equivalent demonstrated capability). Technologies Snowflake , Power BI , DAX, SQL, PostGIS, Esri, QGIS, H3, dbt, Fivetran, Airflow, Git, HubSpot, Salesforce, Intermedia, Sage Intacct, Sonar, ELT, CRM, ERP, OSS/BSS, Power BI semantic models, row-level security Benefits Paid vacation, sick time, and holidays 401(k) - Savings plan with Company Match Health insurance - For you and your family on day 1 of employment Dental insurance - For you and your family on day 1 of employment Vision insurance - For you and your family on day 1 of employment Organization & Culture 123NET is part of a Grain Management portfolio company. The organization has an entrepreneurial and technical culture where people are expected to make decisions, work across teams, and take ownership of outcomes . First-Year Outcomes At the end of the first year, Snowflake should be the trusted analytical source for core metrics and Power BI the primary reporting tool. Executive and accounting dashboards should be published, governed, and regularly used. The address master and serviceability logic should be in production. Recurring sponsor reporting should be automated rather than assembled manually. Location Southfield, MI (hybrid). Candidates based in or near the market are preferred. The company is also open to a remote arrangement for candidates based in the U.S., with periodic travel to Southfield for planning and time with the team. Preferred Qualifications Experience in telecommunications, broadband, fiber, or another subscription-infrastructure business, especially with OSS/BSS data, network inventory, serviceability, or market-expansion analytics. Experience in a private-equity-backed company, including maintaining metric definitions and building KPI packages, board decks, or lender/sponsor reporting. Strong geospatial experience with tools such as PostGIS , Esri, QGIS, H3, or equivalent, and familiarity with parcel, census, and demographic data. Experience with modern data-stack tools such as dbt, Fivetran, Airflow, Git-based workflows, and data quality frameworks. Applied machine learning experience with propensity, churn, CLV, segmentation, or forecasting models used in production workflows. Experience with CRM, billing, call-center, or ERP data including HubSpot, Salesforce, Intermedia, Sage Intacct, Sonar, or similar systems. #J-18808-Ljbffr


What 123Net employees say

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About 123NET

Sourced by ZipRecruiter

Industry

Telecommunications

Company size

201 - 500 Employees

Headquarters location

Southfield, MI, US

Year founded

1995