Senior Data Scientist - Hadoop/Tableau (3-6 yrs)

About the job

Job Description

- We are looking for a Senior Data Scientist to analyse large amounts of raw information to find patterns that will help our clients solve the most pressing problems in business.

- In this role, you should be highly analytical with a knack for analysis, Maths and Statistics.

- Critical thinking and problem-solving skills are essential for interpreting data.

- We also want to see a passion for machine-learning and research.

Responsibilities :

- Identify valuable data sources and automate collection processes.

- Undertake pre-processing of structured and unstructured data.

- Analyse large amounts of information to discover trends and patterns.

- Build predictive models and machine-learning algorithms.

- Combine models through ensemble modelling.

- Present information using data visualization techniques.

- Propose solutions and strategies to business challenges.

- Collaborate with engineering and product development teams.

Key Skills Requirements :

- Experience in data mining

- Understanding of machine-learning and operations research

- Knowledge of R, SQL, and Python; familiarity with Scala, Java or C++ is an asset

- Experience using business intelligence tools (e.g , Tableau) and data frameworks (e.g , Hadoop)

- Analytical mind and business acumen

- Problem-solving aptitude

- Excellent communication and presentation skills

- Knowledge and 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, SLQ, 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 analysing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

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

- Experience on Deep Learning models for audio and visual data analytics