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dataroles

Remote Data Scientist

Online River onlineriver.com Open · verified Oct 24, 2026
Remote Los Angeles Part-time Mid-level Data Science

At a glance

Mid-level Data Science role at Online River. Remote, United States · part-time.

Pay not stated Data Scientist salary

RoleData Science
SeniorityMid-level
LocationLos Angeles
WorkplaceRemote
EmploymentPart-time
PostedSep 28, 2024 · 2y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Gather, clean and prepare datasets so they are reliable for analysis
  • Explore datasets to spot patterns and check whether hypotheses hold up
  • Build, implement and tune predictive models and machine learning methods
  • Create dashboards and visualizations, then share findings with partner teams
  • Document the analytical steps and methods used in your work

What you bring

  • A bachelor’s or master’s degree in data science, statistics, computer science or a related field
  • Experience analyzing data and building models, plus a solid grasp of machine learning
  • Programming skills in Python or R, familiarity with Pandas, NumPy or Scikit-learn, and SQL experience

Who this fits

This part-time remote role suits someone who can work independently and manage several projects. You’ll also need to explain analytical findings clearly in writing and conversation.

From the employer

We are seeking a skilled Data Scientist to join our team remotely. The ideal candidate will leverage statistical analysis, machine learning, and data visualization techniques to extract insights and inform business decisions. This role involves collaborating with cross-functional teams to define analytical requirements and deliver actionable solutions.
Data Collection & Preprocessing:

  • Gather, clean, and preprocess datasets to ensure quality and integrity.

Statistical Analysis:

  • Conduct exploratory data analysis to identify patterns and validate hypotheses.

Model Development:

  • Develop, implement, and optimize predictive models and machine learning algorithms.

Data Visualization:

  • Create visualizations and dashboards to communicate insights effectively.

Collaboration:

  • Work with cross-functional teams to define project objectives and present findings.

Documentation:

  • Maintain thorough documentation of analytical processes and methodologies.

Continuous Learning:

  • Stay updated on data science trends and participate in professional development activities.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis and modeling, with a solid understanding of machine learning techniques. Proficiency in programming languages such as Python or R, and familiarity with libraries like Pandas, NumPy, and Scikit-learn. Experience with SQL and database management. Strong analytical and problem-solving skills, with the ability to work independently and manage multiple projects. Excellent communication skills, both verbal and written, with a knack for storytelling through data.
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data ScienceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.