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Remote Data Science Jobs in Indiana (NOW HIRING)

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

Stride, Inc.

High School Science Teacher

Modoc, IN · Remote

$46K - $50K/yr

Join us! This is a REMOTE full-time position. Ability to work independently, typically 40+ hours ... student data, anduse it to drive instructional decisions. * Receptive to receiving coaching ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

Zimmer, Inc.

Business Systems Senior Analyst

Warsaw, IN · On-site +1

Collaborate with advanced data science, data quality, market research and other Analytics teams to ... Position permits remote work up to 5 days per week throughout the U.S. EOE/M/F/Vet/Disability ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

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 ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Transparent Hiring

$106K - $128K/yr

Familiarity with cloud platforms and modern data tooling Location & working model * Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by Transparent ...

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

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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.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
What are popular job titles related to Remote Data Science jobs in Indiana? For Remote Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Indiana look for? The top searched job categories for Remote Data Science jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Science jobs? Cities in Indiana with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Technical Specialist - Remote

Data Technical Specialist - Remote

Belden Inc

Richmond, IN • On-site, Remote

$101K - $152K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Innovation Starts With You


Propel your career at Belden, where innovation creates possibilities-for our people, our customers, and the communities we serve. We connect people, information, and ideas to solve the world's most complex connectivity challenges, turning curiosity into meaningful impact. Here, you'll take on work that challenges you, supports your growth, and empowers you to shape what's next. You'll collaborate with global teams, gain diverse perspectives, and contribute to solutions that extend beyond our business-creating value in the world around us.

Together, we are shaping the future of digitization and paving the way for the next generation of innovation.

Job Summary

We are seeking a skilled SAP Data Migration expert with extensive experience in SAP data migration projects with previous experience on Syniti tools (ADM or ADMM). The ideal candidate will have a strong background in SAP data models and migration processes, coupled with the ability to interact with cross-functional teams, ensure data quality, and deliver on project timelines.

Key Responsibilities

  • Participate in end-to-end data migration projects, ensuring alignment with business objectives and SAP implementation strategies.
  • Configure data migration tools including Syniti ADMM and BODS for data extraction, transformation, and loading (ETL) processes, ensuring accurate and efficient data migration.
  • Collaborate with stakeholders to define data mapping and migration requirements, scope, and timelines.
  • Develop and implement data migration plans, including data cleansing, validation, and reconciliation processes.
  • Conduct data profiling and analysis to assess data quality and identify issues prior to migration.
  • Coordinate with technical teams to design and optimize data migration processes and workflows.
  • Ensure compliance with data governance and security standards throughout the migration process.

Required Experience & Skills

  • 8+ years of experience in SAP data migration roles for greenfield or brownfield projects. Expertise on data migration methodology (mock cycles, validation approach, etc.) is a must.
  • Proven experience with data migration tools including LTMC, DMC, BODS, Syniti tools (e.g., Syniti ADMM/SKP, Syniti Knowledge Platform) and its various modules including Reporting hub, Migrate & Construct.
  • Experience with legacy SAP data tools like LSMW, MASS, etc.
  • Strong understanding of SAP modules and data structures (e.g., S/4HANA, ECC).
  • Extensive knowledge on SAP Data model (Materials, Business Partners, BOMs, Routings, etc.)
  • Knowledge on configurable materials and associated data objects including material classes and characteristics.
  • Excellent analytical skills and attention to detail, with a focus on data quality and integrity.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Ability to work independently and in a team environment, with a proactive approach to problem-solving and process improvements.

Preferred Qualifications

  • SAP certification in one or more technical areas is a plus.
  • Certification on Syniti ADMM would be preferred.
  • Exposure to Variant Configuration (VC or AVC) would be a plus

Applicants can expect a base compensation range of $101,400 - $152,100 plus benefits and additional incentives based on the level of the role.  This is the reasonable estimate that Belden believes it might pay for this job based on applicable circumstances at the time of posting. Belden may ultimately pay more or less than the posted range as permitted by law, and commensurate with the applicant's experience, qualifications, and geographical location. 

Belden also offers hybrid and remote work practices where feasible and provides employees with benefits that could include health/dental/vision, long term/short term disability, life insurance, HSA/FSA, matching retirement plans, paid vacation, parental leave, employee stock purchase plan, paid leave for volunteer work in your community, training opportunities, professional talent management and succession planning, corporate health well-being initiatives and a work culture which includes commitment to diversity, equity, inclusion and sustainability!

Let's Create Possibilities Together.


Join a global community shaping the future of intelligent connectivity. At Belden, you'll help push the boundaries of technology and write the next chapter of innovation, creating possibilities for your career, your future, and the world around you.

These statements are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties and skills required of this job.

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