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Data Scientist R Remote Jobs in Michigan (NOW HIRING)

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... scientists to build and maintain analytic solutions utilizing both traditional on-premises and ...

CSAA

Implement formal modeling processes from end to end including data gathering, data profiling ... SQL, R, Python, Emblem, Radar, etc. * Strong analytical and communication skills What would make us ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity * Run a lightweight but effective ...

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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Michigan

Data Scientist R Remote information

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Michigan? For Data Scientist R Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Michigan look for? The top searched job categories for Data Scientist R Remote jobs in Michigan are:
What cities in Michigan are hiring for Data Scientist R Remote jobs? Cities in Michigan with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Epic Data Engineer

Epic Data Engineer

Stefanini Group

Grand Rapids, MI • Remote

Contractor

Posted 9 days ago

Job description

Stefanini Group is hiring!
Stefanini is looking for Epic Data Engineer-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510
Sudhanshu.shrivastava@stefanini.com
 
W2 Candidates Only!
 
 
Job Summary:
Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs.
 
Essential Functions:
  • Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision.
  • Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.
  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.
  • Participates in the design, development, and implementation of conceptual, logical, and physical data models.
  • Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets.  Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints.
  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications.  Works independently or collaboratively to capture, document, and groom features and stories for planning and execution.
 
 
#LI-SS3
#LI-REMOTE

Must have epic certifications:
  • Cogito
  • Clarity Data
  • Caboodle Data Model
 
Must Have
  • Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required
  • Effective and self-sufficient in working within a diverse technology portfolio
  • Excellent analytical skills to troubleshoot and resolve systems problems
  • Must have: Cogito, Clarity Data model, Caboodle Data Model
  • Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing
  • Strong written and oral communication skills with ability to interpret technical requirements
 
Nice To Have
  • Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data
  • Experience in Facets
  • Snowflake Experience
 
Qualifications:
  • Bachelor's Degree or equivalent Preferred Master's Degree
  • 5 years of relevant experience Required
 
 
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
 
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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