Data Scientist

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)