Black Financial Consulting Group

DATA SCIENTIST

Posted 29 Minutes Ago

Be an Early Applicant

Hiring Remotely in USA

Remote

Mid level

Fintech • Information Technology • Software • Consulting

The Role

Collects, cleans, analyzes, and visualizes structured and unstructured data to solve business problems and improve product performance. Builds basic machine learning models, conducts exploratory analysis, experimentation, A/B testing, and statistical validation. Collaborates with Product, Engineering, and data engineering teams on data requirements and quality, while documenting methods, findings, and model outputs.

Summary Generated by Built In

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

Skills Required

2-4 years of experience, including internships, academic projects, or bootcamps
Understanding of statistics and probability
Understanding of data analysis
Familiarity with programming for data analysis
Strong analytical thinking and problem-solving skills
Good communication and reporting abilities
Basic to intermediate proficiency in Python or R
Experience with Pandas, NumPy, and Scikit-learn
SQL for data querying
Power BI or Tableau for data visualization
Machine learning fundamentals, including regression and classification
Statistical analysis and hypothesis testing
Version control using Git, GitHub, or GitLab

View all jobs at Black Financial Consulting Group

View Black Financial Consulting Group Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

3 Employees

What We Do

Black Financial Consulting Group (BFCG) is an execution-first technology consulting and delivery firm with offices in New York, Toronto, and Lagos, Nigeria. It helps organizations build, modernize, and scale digital products, enterprise platforms, cloud infrastructure, and AI solutions for regulated, high-stakes industries. Its four core service lines are New Product Development, Enterprise Software Solutions, Banking & Payments, and Cloud, AI & Infrastructure, serving Financial Services, FinTech, Healthcare, Telecom, Retail, Insurance, Energy, and Digital Assets & Blockchain clients, with proprietary products including KomKom Wallet and ISO 20022 transformation tools.