Senior Data scientist

Senior Data Scientist - Generative AI

Sigmoid Analytics is seeking a highly skilled Senior Data Scientist with expertise in Generative AI to join our dynamic team. You will work on diverse and cutting-edge data science and machine learning challenges across various industries, collaborating closely with clients to understand their unique business contexts. If you are passionate about solving complex, unstructured business problems using advanced data science and machine learning techniques, especially in the realm of Generative AI, we encourage you to apply.

Responsibilities:

• Conduct hypothesis testing, generate actionable insights, perform root cause analysis, and execute factor analysis.
• Develop statistical models (predictive and prescriptive) utilizing a range of statistical and machine learning techniques and algorithms.
• Implement rigorous model testing and training, continuously striving to improve model accuracy and monitor performance.
• Extract data from Enterprise Data Warehouses (EDW) and Big Data platforms, prepare datasets through aggregation and transformation, and perform Exploratory Data Analysis (EDA).

Desired Skills & Competencies:

• Strong learning acumen and a high sense of ownership.
• Proven team management capabilities.
• Ability to thrive in a fast-paced, deadline-driven environment.
• Passion for technology and a deep understanding of machine learning concepts, algorithms, and Generative AI.
• Expertise in data interpretation and problem-solving.
• Fluency in at least one of Python, R, or Java.
• Strong foundation in statistical and machine learning concepts.
• Proficiency with Python libraries such as SciPy, NumPy, Pandas, and Scikit-learn.
• Experience with distributed big data processing tools like PySpark, Jupyter, Linux, and AWS.

Experience & Education:

• 2.5 - 3.5 years of relevant Machine Learning experience.
• B. Tech from a Tier-1 college, or an M.S. or M. Tech degree in Computer Science, Information Technology, or a related field is preferred.