Skill: Data Scientist
Location: Kochi
Exp Range: 6 to 9 years
Roles & Responsibilities:
- Work closely with business experts to understand the operational needs (actuarial, marketing, usage…) and translate business needs into mathematical models and problems.
- Implement algorithms and procedures for the previous and ensure performance and robustness over time.
- Collect, understand, analyze, integrate and explore the internal and external data to find correlations and relations.
- Apply data science tools to solve business challenges (including machine learning / visualization).
- Work with other departments (IT and business) to ensure operational use of results and measure impacts on key business indicators.
- Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.).
Desired Skills:
- Good programming skills (ideally Python or R; appreciated: Java / Scala, JavaScript / AngularJS / Meteor / React…).
- Experience in a modern distributed computing framework (like Databricks) in a cloud environment and tools like git, Kafka, Redis, Riak, etc.
- Ability to model the reality of business into equations, and to understand the implications and limitations of a model
- Strong experience in data processing (e.g. data mining, social network analysis, text mining…).
- Should have a strong background in statistics and machine learning, and be able to apply various statistical and machine learning techniques, such as regression, classification, clustering, dimensionality reduction, feature engineering, model selection, validation, and evaluation, to different types of data and problems.
- Practice with database access (SQL; optionally Pig and Hive), including NoSQL databases (e.g. MongoDB, CouchDB, JSON files…).
- Practice with data visualization (e.g. Tableau, Power BI, Matplotlib, plot.ly, C3.js, Highcharts, etc.).
- Good Knowledge and practice of machine learning, including libraries (e.g. Tensorflow, scikit-learn, PyTorch, Spark MLlib, R packages).
- Awareness on Data Management practices as well as Data Privacy & Security constraints.
- Strong communication skills with non-experts.
- Discipline in writing technical & non-technical documentation.