Junior Data Scientist | Remote - Contract
Free to start · No card · 5 credits the moment you sign up
Job description
Role Title: Junior Data Scientist
Role Type: Contractor
Location: Remote
About the Role we are partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Required Skills
Python
Machine Learning
Statistics
Data Analysis
Experimentation
Pandas
Data Modeling
Scope of Work
Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
Create expert-level prompts, datasets, and reference solutions
Identify flawed methodology, statistical errors, and weak quantitative reasoning
Provide structured feedback that improves model capability
Preferred Qualifications
At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 3 years
Based in an English-speaking country
Clear written communication of technical and statistical concepts
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Xperteez Technology. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.