Senior Data Scientist

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Data Scientist in USA. Below is the detailed job description.

Role: Senior Data Scientist

Location: Remote (USA)

Client is seeking a highly experienced Senior Data Scientist with 15+ years of experience in Data Science, Machine Learning, Advanced Analytics, and AI-driven business solutions. The ideal candidate will lead end-to-end data science initiatives, drive strategic decision-making through advanced analytics, and partner with business and technology stakeholders to deliver measurable business outcomes.

• Lead the design, development, deployment, and monitoring of machine learning and predictive analytics solutions.
• Translate complex business problems into scalable data science solutions.
• Build and optimize statistical, machine learning, and deep learning models for business applications.
• Develop forecasting, recommendation, classification, segmentation, and optimization models.
• Collaborate with business leaders, product teams, and engineering teams to identify data-driven opportunities.
• Mentor and guide junior data scientists and analytics professionals.
• Present analytical findings and recommendations to executive leadership and non-technical stakeholders.
• Drive innovation by evaluating emerging AI/ML technologies and industry best practices.
• Ensure model governance, explainability, scalability, and compliance with organizational standards.
• Partner with Data Engineering teams to build robust data pipelines and production-grade solutions.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related field.
• 15+ years of professional experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
• Strong expertise in Python and SQL.
• Deep understanding of statistical modeling, predictive analytics, experimentation, and hypothesis testing.
• Hands-on experience with machine learning frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
• Experience working with large-scale structured and unstructured datasets.
• Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience deploying and monitoring ML models in production environments.
• Strong communication and stakeholder management skills.
• Proven experience leading large-scale analytics or AI transformation initiatives.

• PhD in a quantitative discipline.
• Experience in Retail, CPG, Supply Chain, Banking, Insurance, Healthcare, or Technology domains.
• Experience with Generative AI, LLMs, RAG architectures, Agentic AI, and MLOps frameworks.
• Knowledge of Databricks, Spark, Snowflake, and modern data platforms.
• Experience leading globally distributed teams.

Programming: Python, SQL, R (preferred)
ML/AI: Machine Learning, Deep Learning, NLP, Generative AI, LLMs
Cloud: AWS, Azure, Google Cloud Platform
Big Data: Spark, Databricks, Hadoop
Visualization: Power BI, Tableau, Looker
MLOps: MLflow, Kubeflow, CI/CD pipelines
Databases: SQL Server, PostgreSQL, Snowflake, Redshift

• Lead strategic AI and data science programs.
• Mentor and develop high-performing analytics teams.
• Influence executive decision-making through data-driven insights.
• Drive innovation and establish best practices across the organization.