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Entry Level Data Scientist Jobs in Remote, OR (NOW HIRING)

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Entry Level Data Scientist information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do entry level data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for entry level data scientist in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
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Entry Level Data Scientist jobs near you

Data Analyst (STEM OPT - Entry Level)

DHARWIN BUSINESS SOLUTIONS LLC

OR • Remote

Full-time

Re-posted 20 days ago

Job description

Location: Remote (United States)
Job Type: Full-Time
Company: Dharwin Business Solutions LLC

About the Company

Dharwin Business Solutions LLC is a US-based technology and business consulting firm providing data analytics, reporting, automation, and business intelligence solutions to clients across the United States and international markets. We work with real-world datasets to support decision-making, operational efficiency, and business growth.

Job Description

We are seeking a STEM OPT-eligible Data Analyst to join our remote analytics team. This role is designed to provide structured training, hands-on project experience, and continuous supervision, ensuring compliance with STEM OPT requirements while helping the candidate build strong analytical and professional skills.

️ Key Responsibilities

  • Analyze structured and unstructured datasets to identify trends and insights

  • Prepare dashboards and reports using tools such as Excel, SQL, Power BI, or Tableau

  • Perform data cleaning, validation, and transformation activities

  • Support business teams by generating periodic performance and KPI reports

  • Assist in ad-hoc data analysis for client and internal projects

  • Document analysis processes and maintain data accuracy standards

  • Work under guidance using internal project monitoring and reporting tools

Qualifications (STEM OPT Eligible)

  • Master’s or Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Business Analytics, or related STEM field

  • Currently on F-1 visa with approved STEM OPT or eligible for STEM OPT extension

  • Basic to intermediate knowledge of:

    • SQL

    • Excel

    • Python or R (preferred)

    • Data visualization tools (Power BI / Tableau – preferred)

  • Strong analytical thinking and problem-solving skills

  • Good written and verbal communication skills

‍ Training & Supervision (STEM OPT Compliance)

  • Structured on-the-job training aligned with the candidate’s STEM degree

  • Regular supervision through internal project tracking and reporting systems

  • Periodic performance evaluations and skill assessments

  • Continuous learning through real-time projects and guided tasks

What We Offer

  • 100% Remote work (USA)

  • STEM OPT-compliant employment and training plan

  • Hands-on experience with real client projects

  • Career growth and long-term opportunities

  • Supportive and learning-focused work environment

How to Apply

Interested candidates may apply by sending their resume and visa status details to:
support@dharwinbusinesssolutions.com