ZipRecruiter

Log In

2

Remote Data Science Jobs in Avon, IN (NOW HIRING)

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$222K - $233K/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 ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Avon, IN

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.

More about Remote Data Science jobs
What job categories do people searching Remote Data Science jobs in Avon, IN look for? The top searched job categories for Remote Data Science jobs in Avon, IN are:
What cities near Avon, IN are hiring for Remote Data Science jobs? Cities near Avon, IN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Avon, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Practice Lead (Remote)

Onebridge

Indianapolis, IN • Remote

Full-time

Re-posted 10 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.

Data Practice Lead | About You

As a Data Practice Lead, you are a strategic and handson expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in clientfacing roles, partnering with executives such as CTOs and CDOs to guide enterprisescale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platformssuch as Databricks and Snowflakeand provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting presales engagements by assessing client needs, comparing platforms, and building ROIdriven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.

Data Practice Lead | Day-to-Day

  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging bestpractice patterns and reference architectures.
  • Lead presales and business development efforts by assessing currentstate environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprisescale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with crossfunctional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct peoplemanagement responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience

  • 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong handson experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support presales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from onprem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong clientfacing communication skills with the ability to translate complex technical concepts into clear business outcomes.