People Interactive - Senior Data Scientist

Description :

- The Senior Data Scientist will be responsible for understanding and deriving insights from the data collected by the company.

- He/She would be responsible for maintaining the data and for building models from scratch using this data as also tuning and improving existing models as per business requirements.

- They would be expected to determine and articulate how insights derived from the models built should be used by various functions in the company.

- They would also be required to mentor junior colleagues with Data Science, Big Data and Analytics skills and help formulate a strategy for the Data Science and Analytics function of the company.

Background :

- The ideal candidate would have a degree in statistics, engineering or a related discipline and a passion or expertise in statistical analysis and has at least 3 years of experience working in areas such as predictive modeling, clustering, recommender systems, classification problems, forecasting and user profiling.

- They would be very comfortable working with massive unstructured data sets. The candidate should also have a good working knowledge of big data platforms such as Hadoop, Spark, Hive, Pig etc.

- The candidate is expected to be able to analyze large amounts of data and should have the ability to work with an appropriate data warehouse solution to do so.

Requirements :

- At least 3 years of work experience in Data Science, Machine Learning or related roles is mandatory

- Expertise in recommendation systems, user profiling, and other machine learning and predictive modeling techniques is required

- Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills is required

- Ability to work with large data sets and to interpret them statistically is required

- Ability to understand and explain issues from both a technical and a business point of view is required

- Strong coding skills with Python and strong problem-solving skills are required

- Good knowledge of the practical application of techniques such as Random Forests, Regression, Neural Networks, Clustering, etc. across a range of business requirements required

- Ability to work with data warehousing solutions to meet large datasets and analysis requirements is expected

- Experience in working with big data platforms such as Hadoop, Spark, Hive, Pig will be useful

- Good knowledge of statistical techniques. Proficiency in Python and good experience with Numpy/Pandas/sci-kit-learn/Keras/Theano/TensorFlow (or similar) preferred

- Knowledge of various NLP techniques and image processing will be useful

- Experience working on BI tools such as Looker or Tableau will be useful

- Experience leading a team of data scientists or analytics will be preferred however being hands-on is expected