Lead Data Scientist — ML, Forecasting & Pipelines

Black Rock Groups; California; On-site; USD 120,000 - 180,000; Full time

Job summary

Black Rock Groups is seeking a data scientist to analyze complex datasets, build predictive models, and deliver data-driven solutions for business growth and operational efficiency. You will apply statistical methods, machine learning, and data wrangling to produce actionable insights and scalable analytics in enterprise environments.

The role emphasizes end-to-end data science, collaboration with data engineers and business teams, and governance of data quality and model lifecycle.

Qualifications

• Strong proficiency in Python and SQL.
• Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, and Pandas.
• Expertise in statistical modeling, hypothesis testing, and predictive analytics.
• Experience with data wrangling, feature engineering, and exploratory data analysis.
• Knowledge of ML algorithms including Regression, Classification, Clustering, Time Series Forecasting, and NLP.
• Experience with large datasets and cloud platforms.
• Strong understanding of data structures, algorithms, and model lifecycle management.
• Experience creating data visualizations using Power BI, Tableau, or Matplotlib.

Responsibilities

• Analyze structured and unstructured data to generate actionable business insights.
• Develop, train, and deploy machine learning and predictive analytics models.
• Perform data exploration, feature engineering, and statistical analysis.
• Build forecasting, classification, clustering, recommendation, and anomaly detection models.
• Design and execute experiments, A/B testing, and model evaluation frameworks.
• Develop data pipelines and automate analytical processes.
• Communicate findings through dashboards, visualizations, and presentations.
• Collaborate with business stakeholders, data engineers, and product teams to solve business problems.
• Monitor model performance and support continuous improvement initiatives.
• Ensure data quality, governance, and compliance with organizational standards.

Skills

Python

SQL

Statistical modeling

Hypothesis testing

Predictive analytics

Data wrangling

Feature engineering

Exploratory data analysis

ML algorithms

NLP

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

Pandas

Power BI

Tableau

Matplotlib

Job description

Black Rock Groups is seeking a data scientist to analyze complex datasets, build predictive models, and deliver data-driven solutions for business growth and operational efficiency. You will apply statistical methods, machine learning, and data wrangling to produce actionable insights and scalable analytics in enterprise environments.

The role emphasizes end-to-end data science, collaboration with data engineers and business teams, and governance of data quality and model lifecycle.