DATA SCIENTIST

Black Financial Consult; United States; Remote; USD 70.000 - 100.000; Vollzeit

Zusammenfassung

Black Financial Consult is seeking a remote data analyst to collect, clean, and analyze data, and to help build simple machine learning models. You will support EDA to generate insights and partner with Product and Engineering to define data needs.

The role involves creating dashboards with Power BI or Tableau, validating model results, and documenting methods and outputs. Strong communication and problem-solving are essential.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Analytical thinking

Problem solving

Communication

Data analysis

Tools

Python

R

Pandas

NumPy

Scikit-learn

SQL

Power BI

Tableau

Git

Jobbeschreibung

This is a remote position.

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