Senior Data scientist

Senior Data Scientist - Generative AI | Sigmoid Analytics | Mumbai (Hybrid)

Sigmoid Analytics is a premier data solutions provider, backed by Sequoia Capital, specializing in the full data value chain: Data Science, Data Engineering, and Data Ops. We are at the forefront of solving intricate problems using data and technology, driven by a culture of expertise, mutual respect, and a team-first approach. Work with dynamic teams that challenge the status quo and create impactful solutions.

Our offices span New York, Dallas, San Francisco, Lima, and Bengaluru. This exciting role is for our Bengaluru office, with a hybrid work model in Mumbai.

About the Role:

As a Senior Data Scientist, you will tackle a diverse array of cutting-edge data science and machine learning challenges across various industries. You will collaborate closely with clients to grasp their business contexts and devise data-driven solutions. If you are driven by complex, unstructured business problems solvable through data science and machine learning, we encourage you to apply.

Function: Data Science and Analysis, Data Science / Machine Learning

Responsibilities:

• Conduct hypothesis testing, generate insights, perform root cause analysis, and execute factor analysis.
• Develop statistical models (predictive & prescriptive) utilizing a range of statistical and machine learning techniques/algorithms.
• Execute model testing and training, optimize model accuracy, and monitor model performance.
• Extract data from Enterprise Data Warehouses (EDW) and Big Data Platforms, prepare datasets (base data creation, aggregation, transformation), and conduct Exploratory Data Analysis (EDA).

Desired Skills & Competencies:

• Strong learning agility and a high sense of ownership.
• Proficiency in team management and the ability to thrive in a fast-paced, deadline-driven environment.
• A genuine passion for technology and strong data interpretation skills.
• Excellent problem-solving capabilities.
• Solid understanding of machine learning concepts, algorithms, and Generative AI.
• Fluency in at least one programming language: Python, R, or Java.
• Robust knowledge of statistical and machine learning concepts.
• Experience with Python libraries such as SciPy, NumPy, Pandas, and Scikit-learn.
• Familiarity with distributed big data processing tools like PySpark, Jupyter, Linux, and AWS.

Desired Experience & Education:

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