Data Scientist

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices: New York | Dallas | San Francisco | Lima | Bengaluru

Data Scientist - Why Join Sigmoid?

• Sigmoid offers the opportunity to push boundaries by combining technical expertise and creativity to solve complex business problems with data solutions.
• You will be part of a fast-paced, diverse environment working with a high-performing team that challenges the status quo.
• Enjoy a vibrant, inclusive culture rooted in mutual respect and fun, both at work and through recreational activities.

Qualifications

• B-Tech / M-Tech / MBA degree from a top-tier institute, ideally in a quantitative field.
• 3-7 years of hands-on experience in applied Machine Learning (ML), AI, and analytics.
• Strong programming skills in Python, R, SQL, NoSQL, Spark, and experience with cloud platforms (AWS, Azure, GCP).
• Deep understanding of machine learning, deep learning, data mining, and statistical concepts.
• Experience developing solutions using these concepts and tools.
• Proficiency with ML libraries such as numpy, pandas, scikit-learn, TensorFlow, scrapy, BERT, among others.
• Ability to understand complex business challenges in domains like Supply Chain, Manufacturing, CPG, and Marketing, and provide actionable insights.
• Note: Proficiency in Python and SQL is sufficient for this role.