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Remote Data Scientist Internship Jobs (NOW HIRING)

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models ...

Futran Tech Solutions Pvt. Ltd.

Data Scientist

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional travel to the client location is required. * Candidates might need to overlap with offshore on need ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0241019 Location: San Antonio,TX,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Fully remote anywhere in the United States. Employment Type: 6 month contract with possibility to extend or convert. Role Overview A position is available for a Data Scientist to develop predictive ...

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

iSpot

Data Scientist

Bellevue, WA · On-site +1

$112K - $142K/yr

We are seeking a Data Scientist to join our team. In this role, you will analyze, manipulate, clean ... remote at a home office located anywhere in the U.S. If you don't feel you met every single ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

AIS Inc

Data Scientist

Miami, FL · Remote

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Senior Data Scientist PAY RANGE: $150,000 - $200,000 LOCATION: McLean, VA JOB SUMMARY : Are you ... We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Analytica

Data Scientist

Bethesda, MD · On-site +1

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Mentor junior analysts and data scientists in best practices for data science, forecasting, and ...

Analytica

Data Scientist

Bethesda, MD · Remote

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Mentor junior analysts and data scientists in best practices for data science, forecasting, and ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

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Remote Data Scientist Internship information

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$165K

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How much do remote data scientist internship jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote data scientist internship in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a Remote Data Scientist Internship?

As a Remote Data Scientist Intern, you may work on tasks like cleaning and analyzing datasets, building predictive models, visualizing data trends, and assisting with data-driven decision-making processes. You will likely collaborate with other data scientists and team members through virtual meetings, shared code repositories, and project management tools. Your daily responsibilities might include writing scripts to automate data analysis, preparing presentations, and contributing to ongoing research or product development initiatives. These experiences are designed to help you develop practical, industry-relevant skills and gain exposure to real-world data science challenges.

What is a Remote Data Scientist Internship job?

A Remote Data Scientist Internship is a temporary, project-based position where interns work remotely to analyze data, build models, and derive insights using machine learning and statistical techniques. Interns collaborate with teams virtually, using tools like Python, R, and SQL to process and visualize data. These internships help students and professionals gain real-world experience in data science while improving their technical and analytical skills.

What are the key skills and qualifications needed to thrive in the Remote Data Scientist Internship position, and why are they important?

To thrive as a Remote Data Scientist Intern, you need a solid understanding of statistics, machine learning, and programming, often demonstrated through coursework or related projects in fields like data science, computer science, or engineering. Hands-on experience with tools such as Python or R, data visualization libraries, SQL databases, and platforms like Jupyter Notebook is highly valued, along with familiarity with cloud-based collaboration tools. Strong analytical thinking, initiative, clear communication, and the ability to work independently in a virtual environment are standout soft skills. These capabilities enable interns to effectively analyze complex data, share insights, and contribute meaningfully to team projects despite the remote setting.

More about Remote Data Scientist Internship jobs
What cities are hiring for Remote Data Scientist Internship jobs? Cities with the most Remote Data Scientist Internship job openings:
What are the most commonly searched types of Remote Data Scientist jobs? The most popular types of Remote Data Scientist jobs are:
What states have the most Remote Data Scientist Internship jobs? States with the most job openings for Remote Data Scientist Internship jobs include:
What job categories do people searching Remote Data Scientist Internship jobs look for? The top searched job categories for Remote Data Scientist Internship jobs are:
Remote Data Scientist Internship jobs near you
Infographic showing various Remote Data Scientist Internship job openings in the United States as of June 2026, with employment types broken down into 13% Internship, 49% Full Time, and 38% Part Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Tanisha Systems, Inc.

Santa Clara, CA • On-site, Remote

Other

Posted 29 days ago

Job description

Data Scientist
Salary – Market (DOE)
REMOTE / Work From Home
Full-Time / Direct-Hire
As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for Client portfolios on Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of Client market dynamics — and you are comfortable translating complex model outputs into clear business recommendations.
Skills / Experience
  • 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production
  • 5+ years of experience in Python — Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and Databricks experience in production
  • 5+ years of experience in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory optimization
  • 5+ years of experience in Deep Learning (DL) algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in Client, FMCG, or Retail analytics industry
  • 3+ years of experience in MLflow or equivalent experiment tracking tool
  • Master''s or PhD in Statistics, CS, or related field (preferred)

Secondary Skills / Good to have
  • SQL & Data Engineering Fundamentals - Advanced SQL on Delta Lake / Azure Synapse; ability to build lightweight feature pipelines without full data engineering support
  • MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model retraining, evaluation gates, and deployment to Databricks Model Serving
  • Data Visualisation & Storytelling - Power BI, Plotly, or Streamlit dashboards to communicate forecast accuracy and business KPIs to non-technical stakeholders
  • Promotional & Trade Analytics - Modelling promotional uplift, baseline vs incremental volume splits, and trade spend ROI — key for Client forecast decomposition
  • Team Leadership & Mentoring - Guide junior data scientists, run code reviews, define modelling standards, and represent the data science function in cross-functional forums

Job / Role Description
  • Lead end-to-end sales forecasting model development — from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
  • Design and maintain forecasting pipelines — at SKU, category, and regional hierarchy levels — incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
  • Apply Client domain knowledge — to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
  • Operationalise ML models using MLflow on Databricks — manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
  • Collaborate with commercial and supply chain teams — to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
  • Define and enforce data science best practices — modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
  • Mentor junior data scientists — conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
  • Communicate model insights and forecast accuracy — to senior stakeholders through dashboards, executive briefings, and written reports — making complex model behaviour accessible to business audiences
  • Drive continuous model improvement — benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
  • Partner with data and platform engineers — to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements
  • Communicate effectively with internal and customer stakeholders; Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities

Expected Outcome / What Success Looks Like
  • Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us to strengthen our capabilities and drive growth in this area
  • Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions
  • This role offers the opportunity to lead high-impact data science initiatives that directly shape customer outcomes and gain strong visibility with senior leadership

Apply