Description

The ideal candidate is someone who can: 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 their 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 0-2 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

Role and Responsibilities

• 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 Role Data Analyst Industry Type BPO / Call Centre Functional Area Data Science & Analytics Employment Type Full Time, Permanent Role Category Business Intelligence & Analytics