Job ID
Job Title
Data Scientist
Sr. Associate (Data Scientist JD)
No.of Positions
Experience Required
Work from Home at least for 2 years
To Join by
At the earliest
Key Skills
R, statistical, machine learning techniques, Python, SQL

Skills preferred:

Experience in statistical and data mining techniques: GLM/Regression,
Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience querying databases and using statistical computer languages: R,Python, SQL, etc.

Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

Experience creating and using advanced machine learning algorithms and statistics:
regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Experience in OCR and Face Recognition algorithms
Strong understanding of text preprocessing and normalization techniques, such as tokenization, POS tagging, and parsing

Should know following frameworks : TensorFlow, PyTorch, Caffe, mxnet, Keras and Theano.

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Experience working with and creating data architectures.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.
Job Description
Manipulating data sets and building statistical models.

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.

• Coordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Strong problem solving skills with an emphasis on product development.