About Sigmoid Analytics
Sigmoid is data solutions consulting company focused on building data engineering & data
science solutions for large technology, financial services & retail CPG companies.
Having started in 2013 by three IIT Kharagpur Alumni, Rahul, Lokesh & Mayur. we have now
grown into a 200+ members strong team with offices in San Francisco, CA; Dallas, TX; Jersey
City, NJ and Bangalore, India. Sigmoid is rapidly growing & is backed by Sequoia Capital.
Sigmoid, a leader in real-time interactive solutions & is a proud winner of the #Tie50 Award
for 2018. We have been recognized as a winner among 7400+ companies across 28
countries. It's a heartwarming feeling, inspires us further to achieve greater heights in the
times to come.
Skill Sets:
• Strong learning acumen
• Team Player
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
Responsibilities
• Hypothesis testing, insights generation, root cause analysis, factor analysis
• Statistical model (predictive & prescriptive) development using various statistical &
machine learning techniques/algorithms
• Test/train the model, Improve Model accuracy, Monitor model performance
• Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base
data, aggregation, transformation), performing EDA
Minimum Qualifications:
• Recent Graduates with Bachelor’s/Master’s degree in Computer Science, Information
Technology or similar degree
• Good exposure to machine learning concepts and algorithms
• Must be fluent with any one of Python, R, Java
Preferred Qualifications (would be a plus):
• Strong in statistical & machine learning concepts
• Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn
• Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)
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