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Remote Data Science Jobs in Novi, MI (NOW HIRING)

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

... of data * Attend and report on assigned medical conferences * Collaborate with KOLs on medical ... Experience in a start-up environment is a plus This position is primarily remote. The salary range ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy ...

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

Bachelor's degree or foreign equivalent in Information Technology, Computer Science or a related ... data. 2 years of experience with each of the following skills is required: 1. Applying Agile ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Director, Product

Detroit, MI · Remote

$238K - $249K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

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Remote Data Science information

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Novi, MI? The most popular types of Data Science jobs in Novi, MI are:
What are popular job titles related to Remote Data Science jobs in Novi, MI? For Remote Data Science jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Novi, MI look for? The top searched job categories for Remote Data Science jobs in Novi, MI are:
What cities near Novi, MI are hiring for Remote Data Science jobs? Cities near Novi, MI with the most Remote Data Science job openings:
Data Analyst II - Remote Position

Data Analyst II - Remote Position

Trinity Health

Livonia, MI • On-site, Remote

Full-time

Re-posted 11 days ago


Trinity Health rating

6.5

Company rating: 6.5 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

607th of 886 rated healthcare providers


Job description

Employment Type:
Full timeShift:
Day Shift
Description:
POSITION PURPOSE
The Data Analyst (II) provides business intelligence support to various department leaders in providing technical and analytic support for strategic and healthcare initiatives within Trinity Health. Applies statistical techniques and quantitative methods in reviewing data to develop scorecards, benchmarking studies, or integrated ad hoc analyses. Contributes to and participates with other teams such as but not limited to: Health Informatics, Trinity Information Services, Supply Chain, Revenue and Finance as needed to provide insights for strategic initiatives to leaders across the healthcare system.
This role supports and manages analytic design, data collection, and measure reporting in accordance with national and professional society standards and supports various healthcare initiatives aligned with organizational goals. Develops analytical and statistical skill set to research and make recommendations on business problems and to develop and implement data driven strategies to support key initiatives. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. This role also requires the application of project management concepts in the analytics life-cycle process.
ESSENTIAL FUNCTIONS
Knows, understands, incorporates and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices and decisions.
Serves as a subject matter expert by providing analytic consultation in collaboration with other team members (clinical leaders, project managers, other analysts, etc.) in identifying analytics options and opportunities and providing problem solving solutions in support of the project goals.
Responsible for a moderate number of projects that are narrow in scope and moderate complexity including:
  • Reviewing and modifying existing systems including coding, testing, debugging, and documentation
  • Responsibility for the checks for validity and reproducibility of analyses
  • Maintaining routine reporting and ensuring completeness and accuracy of reports
  • Supporting the design and development of datasets from multiple data sources

Researches measure definitions, algorithms, published journal articles and statistical methods to make appropriate recommendations to support organizational goals.
Develops queries to source high-volume, high-dimensionality data from multiple complex databases. Cleans and manipulates data as appropriate for report generation, dashboard creation, or simple to moderately complex statistical analysis.
Regularly monitors performance of many key performance indicators, highlights trends, examines interactions in metrics, and identifies opportunities for improvements to leaders and stakeholders.
Develops portions of presentations, publications, website postings, and applications in collaborations with other stakeholders.
Draws strategic and tactical conclusions from data analyses through summarization, interpretation, and visualization of data so to make recommendations to clinical leadership in an easy-to-understand communication format.
Builds strong relationships internally and collaborates effectively on cross-functional teams. Collaborates with members of various other departments, for example (Supply Chain, Revenue and Finance) to develop integrated ad hoc analyses aligned with organizational goals.
Develops trusted relationships through efficient, high-quality execution of analyses and effective communication regarding expectations and timelines.
Provides technical and operational guidance and direction to Level I Data Analysts and collaboratively works with Senior Healthcare Data Analysts during consultations and presentations.
Works in partnership with Trinity Information Services and other technology teams in support of development and maintenance of data applications, clinical databases, and vendor systems containing clinical content.
Other duties as needed and assigned by the Director, Healthcare Data and Analytics.
Maintains a working knowledge of applicable Federal, State, and local laws and regulations, Trinity Health's Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical, and professional behavior.
MINIMUM QUALIFICATIONS
Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience.
Must possess excellent oral and written communication and presentation skills.
Must be well organized and possess the ability to work with minimal supervision, which includes setting one's own priorities and actively seeking direction in case of conflict.
Must be able to make decisions based on logical thinking and ethical principles.
Comprehensive knowledge of quality improvement principles, theory, study design and statistical modeling and possess and ability to continuously learn in these areas.
Advanced Microsoft Office skills required, particularly in Excel.
Proficient working with data in the capacity of a programmer.
Proficiency in statistical or analytic software systems such as SAS, R, SPSS, etc.
Experience with relational databases and general programming languages (SQL or Python).
Experience with various data reporting and visualization software (Tableau, Qlikview, Business Objects, etc.)
Excellent interpersonal skills to foster collaborative partnerships using a team approach to span traditional boundaries within a healthcare setting.
Must be comfortable operating in a collaborative, shared leadership environment.
Must possess a personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Trinity Health.
PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS
Must be able to set and organize own work priorities and adapt to them as they change frequently. Must be able to work concurrently on a variety of tasks/projects in an environment that may be stressful with individuals having diverse personalities and work styles.
Must possess the ability to comply with Trinity Health policies and procedures.
Pay Range- $86,175- $129,263
Our Commitment
Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.

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About Trinity Health

Sourced by ZipRecruiter

Trinity Health Ann Arbor is a 537 -bed teaching hospital located on 340 acre campus. Recognized by IBM Watson as a Top 100 Hospital and #1 Teaching Hospital, Trinity Health Ann Arbor has been a leading health care provider for more than 100 years. Trinity Health has received numerous local and national awards in recognition of our leadership, quality outcomes, and clinical excellence.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US