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Remote Data Science Jobs in Edgewood, KY (NOW HIRING)

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

We are unable to do remote. This role will be focused on data analytics for our home equity line of business. GENERAL FUNCTION: Responsible for developing analytics and reporting that helps the line ...

SDET - 100 % Remote

Cincinnati, OH · Remote

$51.25 - $66/hr

... data, and work with other team members to quickly remove obstacles What you should have: · ... degree in computer science/information systems or equivalent combination of education and ...

Showing results 21-40

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.

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.

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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

What are the most commonly searched types of Data Science jobs in Edgewood, KY? The most popular types of Data Science jobs in Edgewood, KY are:
What job categories do people searching Remote Data Science jobs in Edgewood, KY look for? The top searched job categories for Remote Data Science jobs in Edgewood, KY are:
What cities near Edgewood, KY are hiring for Remote Data Science jobs? Cities near Edgewood, KY with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Edgewood, KY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

System One

Fairfield, OH • Remote

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Job Title: Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote – offsite Hours: 40.0 Security Clearance: (not specified)

Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry experience . Skills : DataStage AND /OR Power BI ,SQL SAS and Python. Snowflake , Facts Qualifier matrix, developing BI dashboards. Visual Studio Code, Github ,CI/CD Responsibilities

  • Build robust and scalable data pipelines to support business insights and decision-making
  • Analyze and organize raw data from multiple sources, creating required data elements
  • Design table structures and ETL/ELT processes for high-performance, scalable data solutions
  • Create reconciliation procedures and data checks to ensure data quality
  • Develop automated audit, balancing, and controls mechanisms
  • Provide production support including technical assistance to end-users and IT staff
  • Assist and lead requirements gathering and documentation with business partners
  • Conduct data investigations and support complex data analyses and ad-hoc queries
  • Participate in application and technical architecture analysis, design, and implementation
  • Lead efforts with data management and database specialists to troubleshoot and resolve issues
  • Design reporting applications to support reporting requests from data sources
  • Ensure adherence to metadata management and data quality standards
  • Troubleshoot and understand dependencies between data warehouse and BI tools
  • Build and maintain relationships with process owners and colleagues
  • Identify scope or effort changes that could impact deliverables or budgets
  • Demonstrate expert problem solving capabilities
Requirements
  • Proven experience designing and implementing ETL/ELT processes (preferred tools: IBM's DataStage, SQL, SAS, Python; moving to Python, DBT, SQL, Power BI)
  • Experience with CI/CD concepts and version control with GitHub
  • Proficiency with Visual Studio Code for development and debugging
  • Experience working with Snowflake for scalable data warehousing
  • Knowledge of enterprise data warehouse design artifacts such as FQM, source-to-target mapping, and schema modeling
  • Understanding of enterprise technical landscape, insurance background a plus
  • Experience developing BI dashboards with tools like Power BI; creating data quality scorecards and data lineage
  • Experience with Agile teams and mentoring development team members
  • Strong analytical and communication skills
  • Ability to manage multiple projects and meet deadlines independently
  • Ability to create visual models for processes and data flow
  • Prior reporting application support experience
  • Three or more years of requirements gathering and solution architecture experience preferred

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1- #LI-VR1 Ref: #861-Cincinnati-S1