DATA SCIENTIST
TypeContract
LocationUnited States
Posted4 hours ago
This is a remote position.
The Data Scientist will assist in collecting, analyzing, and interpreting data to solve business problems and improve product performance. This role is ideal for early-career professionals interested in machine learning, statistical analysis, and data-driven product development.
Key Responsibilities
Collect, clean, and analyze structured and unstructured data.
Assist in building basic machine learning models and predictive algorithms.
Support exploratory data analysis (EDA) to generate insights.
Work with Product and Engineering teams to define data requirements.
Help visualize data insights using dashboards and reports.
Assist in testing and validating model performance.
Support experimentation and A/B testing initiatives.
Document analysis methods, findings, and model outputs.
Collaborate with data engineers to ensure data quality and availability.
Required Qualifications
2-4 years of experience (internships, academic projects, or bootcamps included).
Understanding of statistics, probability, and data analysis.
Familiarity with programming for data analysis.
Strong analytical thinking and problem-solving skills.
Good communication and reporting abilities.
Technical Skills
Programming: Python or R (basic to intermediate)
Data libraries: Pandas, NumPy, Scikit-learn
SQL for data querying
Data visualization: Power BI/Tableau
Machine learning fundamentals (regression, classification basics)
Statistical analysis and hypothesis testing
Version control: Git / GitHub / GitLab
Originally posted on Himalayas
The Data Scientist will assist in collecting, analyzing, and interpreting data to solve business problems and improve product performance. This role is ideal for early-career professionals interested in machine learning, statistical analysis, and data-driven product development.
Key Responsibilities
Collect, clean, and analyze structured and unstructured data.
Assist in building basic machine learning models and predictive algorithms.
Support exploratory data analysis (EDA) to generate insights.
Work with Product and Engineering teams to define data requirements.
Help visualize data insights using dashboards and reports.
Assist in testing and validating model performance.
Support experimentation and A/B testing initiatives.
Document analysis methods, findings, and model outputs.
Collaborate with data engineers to ensure data quality and availability.
Required Qualifications
2-4 years of experience (internships, academic projects, or bootcamps included).
Understanding of statistics, probability, and data analysis.
Familiarity with programming for data analysis.
Strong analytical thinking and problem-solving skills.
Good communication and reporting abilities.
Technical Skills
Programming: Python or R (basic to intermediate)
Data libraries: Pandas, NumPy, Scikit-learn
SQL for data querying
Data visualization: Power BI/Tableau
Machine learning fundamentals (regression, classification basics)
Statistical analysis and hypothesis testing
Version control: Git / GitHub / GitLab
Originally posted on Himalayas
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Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.