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DATA SCIENTIST at Black Financial Consult | Jobyssey

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DATA SCIENTIST

DATA SCIENTIST

Black Financial Consult · 1 month ago

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Work mode: Remote
Category: Data science
Experience: 2+ years

ab-testing data-quality data-visualization git github gitlab machine-learning numpy pandas powerbi python scikit-learn

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The Data Scientist collects, analyzes, and interprets data to solve business problems and improve product performance using machine learning, statistical analysis, and data-driven product development. Core technologies include Python/R, Pandas, NumPy, Scikit-learn, SQL, Power BI/Tableau, and Git.

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

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