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Data Science Research Assistant Remote Jobs in Indiana

... * Assist in the implementation and optimization of ERP and other enterprise systems from a data ... Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ...

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... Lead qualitative and quantitative research, rapid prototyping, and lean experiments (POVs, MVPs ...

Senior Data Scientist

Francisco, IN ยท On-site +1

$170K - $220K/yr

Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI ... As a Data Scientist, you will provide invaluable insights to our product and business teams ...

UI/UX SME

Crane, IN ยท On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Senior Data Analyst

Indianapolis, IN ยท On-site +1

$82K - $103K/yr

... CMS (4%). * Research, interpret, and ensure application of HHS/CMS rules and regulations to ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

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Data Science Research Assistant Remote information

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

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

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

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are Data Science Research Assistants (Remote)?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.
What are popular job titles related to Data Science Research Assistant Remote jobs in Indiana? For Data Science Research Assistant Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant Remote jobs in Indiana look for? The top searched job categories for Data Science Research Assistant Remote jobs in Indiana are:
What cities in Indiana are hiring for Data Science Research Assistant Remote jobs? Cities in Indiana with the most Data Science Research Assistant Remote job openings:
Operations Data Analyst

Operations Data Analyst

EHOB INC

Indianapolis, IN โ€ข On-site, Remote

Full-time

Re-posted 9 days ago


Job description

Summary

The Operations Data Analyst plays a critical role in driving operational efficiency and strategic decision-making through data analysis. This role is responsible for collecting, analyzing, and interpreting data related to business operations, identifying trends, and providing actionable insights to stakeholders across departments.


Essential Duties & Responsibilities
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Analyze operational data to identify trends, inefficiencies, and opportunities for improvement.

  • Utilize data visualization tools (e.g., Tableau, Power BI) to effectively communicate complex data in a simple, repeatable, and understandable manner. Translate complex data sets into clear, actionable insights for non-technical stakeholders.

  • Support forecasting, budgeting, and strategic planning efforts with data models and scenario analysis.

  • Ensure data integrity and consistency across systems and reports.

  • Compile Operations Demand Forecast for Supply Chain, Distribution Operations, and Manufacturing Operations.

  • Develop and maintain dashboards, reports, and KPIs to monitor performance across departments.

  • Automate recurring reports and streamline data workflows using tools like SQL, Excel, Power BI, or Tableau.

  • Assist in the implementation and optimization of ERP and other enterprise systems from a data perspective.

  • Perform ad-hoc analysis to answer specific business questions.

  • Lead or participate in data-driven projects, ensuring timely and accurate delivery of insights.

  • Other duties as assigned.

Education and/or Experienceย 

  • Bachelorโ€™s degree with a concentration in Business, Mathematics, Statistics, Data Science, or a related fieldย 

  • 2-5 years of experience in data analysis, preferably in operations or business intelligence.ย ย 

  • Proficiency in data visualization tools (Power BI, Tableau) and data querying languages (e.g. SQL)ย 

  • Strong Excel skills, including pivot tables, VLOOKUP, and advanced formulasย 

  • Experience with Salesforce (or other CRM), SQL, Tableau, Traverse (or other ERP System) a plusย 

  • Excellent problemโ€”solving skills and attention to detail.ย 

  • Strong communication skills with the ability to present findings to diverse audiences.ย ย 

  • ** This role requires you to already live within daily commuting distance of Indianapolis. We do not offer relocation or remote work for this position. **

Other Skillsย 

  • Language skills:ย  Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints.ย  Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public group, and/or boards of directors.ย 

  • Mathematical skills:ย  Ability to work with mathematical concepts.ย 

  • Reasoning: Ability to define problems, collect data, establish facts and draw valid conclusions.ย  Ability to interpret an extensive variety of information.ย 

  • Cognitive Skills: Attention to detail, Analytical/strategic Thinking, Problem solving, Creativityย 

  • Computer skills: Knowledge of Microsoft Office Suite, strong Excel skillsย 

Competenciesย 

  • Communication: Effectively communicate to internal and external business partners by sharing expertise to encourage accomplishment of shared business goals.ย ย ย 

  • Teamwork and Collaboration: Actively support and collaborate with peers and team members to contribute to overall company success.ย ย 

  • Knowledge: Display knowledge of department, applicable products, services and business objectives. Demonstrate a continuous learning mindset through continued professional and personal development.ย ย 

  • Accountability: Follow through with tasks and responsibilities in an appropriate and timely manner.ย ย 

  • Work Quality: Produces results, meets goals, and provides services that meets or exceeds EHOBโ€™s standards.ย ย 

  • Adaptability: Readily and effectively adapts way of working, thinking and acting in response to changing workplace conditions, targets or goals.ย ย 

  • Attention to Detail: Ability to focus on the finer aspects of a task or problem, ensuring accuracy, precision, and thoroughness.ย 

  • Strategic Thinking: Demonstrate ability to understand a situation or obstacle from all perspectives.ย 

  • EHOB Ambassador: Reflect EHOBโ€™s mission, vision and values.ย ย 

Work Environmentย 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts; risk of electrical shock; risk of radiation and vibration. The noise level in the work environment is usually moderate.ย ย 

EHOB does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status or military service.