Data Science Analyst - Python and Machine Learning

About the Role

Key Responsibilities

• Develop AI/ML models using Python for data manipulation and process automation.
• Implement forecasting models, including time series and machine learning-based approaches.
• Design and develop data pipelines using SQL.
• Apply MLOPS practices to ensure reliable deployment and monitoring of models.
• Collaborate with team members and communicate findings effectively through written, verbal, and data visualization methods.

Requirements

• Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 2 years of experience in Information Technology.
• At least 2 years of experience in Analytics/Data Science.
• Experience in ML coding, forecasting skills (time series and ML models), and Python for AI/ML model development.
• Proficiency in SQL for developing data pipelines.
• Proven proficiency in MLOPS.
• Authorized to work in the United States and willing to relocate or commute to specified locations.
• Ability to communicate effectively, including collaboration, presentation, and data visualization skills.

Nice to Have

• Knowledge of GenAI and Large Language Models (LLM).
• Strong communication skills, both written and verbal.

Qualifications

• Educational qualifications as specified in the requirements (Bachelor's degree or equivalent).

Benefits & Perks

• Medical, Dental, Vision, and Life Insurance.
• Long-term and Short-term Disability coverage.
• Health and Dependent Care Reimbursement Accounts.
• Insurance options including Accident, Critical Illness, Hospital Indemnity, and Legal.
• 401(k) plan with contributions based on salary level.
• Paid holidays and Paid Time Off.