Sr. Data Scientist – Data & Analytics

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Database, SQL, AWS, Data science techniques, Data Mining, PyTorch, TensorFlow, Scikit-learn, Kaggle Community Manager, Powerpoint

Job Description

• Take the initiative to tackle new business problems and have the curiosity to explore large volumes of data
• Seamlessly work with various business stakeholders, understand their individual needs, and design custom solutions
• Have the curiosity to interrogate data, conduct independent research, utilize various techniques to analyze it and, if need be, tackle ambiguous problems with maturity
• Is firmly grounded in his/her understanding of statistical concepts and machine learning necessary to build various models, algorithms etc.
• Technically strong to design solutions and reports for management
• Work well within a team and collaborate with colleagues across domains and geographies
• Learn the business quickly

The skills that will make you successful are:

• Knowledge of advanced statistical modelling, testing, data mining, and data science techniques
• Has used modeling frameworks including Scikit-learn, PyTorch, and TensorFlow
• Highly proficient in Python and SQL (or any other querying language)
• Has advanced Excel and PowerPoint skills
• Experience with Tableau and other data visualization tools would be great
• Strong logical and scientific approach to problem-solving
• Excellent organizational, analytical and problem-solving skills
• Ability to communicate complex results in a simple and concise manner at all levels within the organization
• Ability to excel in a fast-paced, startup-like environment

Ideal candidate profile:

• Must have at least 4-6 years of experience working in the data science domain
• Has experience building machine learning algorithms and implementing models in production
• Proficient at using Python or any other leading software/languages
• Knowledge of querying languages like T-SQL and relational databases
• Conceptual understanding of Hadoop and cloud computing like AWS
• Demonstrated participation on platforms like Kaggle is a plus
• Previous experience working on sales and marketing data is a plus
• Experience with Amazon Web services

Experience with one or more of the following types of business analytics applications:

• Predictive analytics for customer retention, cross sales and new customer acquisition
• Pricing optimization models
• Segmentation
• Recommendation engines

Required Skills and Education:

• Graduates from any stream (background in quantitative fields preferred)
• Excellent communication skills

• Flexible and able to meet and learn the changing demands of the business and projects
• Excellent communications skills and has the right attitude/personality of a team player
• A demonstrable ability to assimilate new information thoroughly and quickly
• Good sense of humor, emotional maturity and the ability to work well under pressure
• Practical experience with the use of machine learning for business analytics