04/02 Pioneer HR
HR at Pioneer Financial & Management Services Ltd.

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Data Scientist - R/Python/SQL (7-16 yrs)

Bangalore/Chennai/Mumbai/Pune Job Code: 407334

Role: Data Scientist (8-15 Years of Experience)

Support delivery of one or more data science use cases, leading on data discovery and model building activities

- Conceptualize and quickly build POC on new product ideas - should be willing to work as an individual contributor

- Open to learn, implement newer tools\products

- Experiment & identify best methods\techniques, algorithms for analytical problems

- Operationalize - Work closely with the engineering, infrastructure, service management and business teams to operationalize use cases

Essential Skills :

- Minimum 4-7 years of hands-on experience with statistical software tools: SQL, R, Python

- 3+ years- experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting

- Experience working with large data sets in order to extract business insights or build predictive models

- Proficiency in one or more statistical tools/languages - Python, Scala, R, SPSS or SAS and related packages like Pandas, SciPy/Scikit-learn, NumPy etc.

- Good data intuition / analysis skills; sql, plsql knowledge must

- Manage and transform variety of datasets to cleanse, join, aggregate the datasets

- Hands-on experience running in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics)

- Industry experience in building and operationalizing various machine and deep learning models in finance/other domain would advantage

- Deep domain (BFSI, Manufacturing, Auto, Airlines, Supply Chain, Retail & CPG) knowledge

- Demonstrated ability to work under time constraints while delivering incremental value.

- Education Minimum a Masters in Statistics, or PhD in domains linked to applied statistics, applied physics, Artificial Intelligence, Computer Vision etc.

Desirable Skills (not must)

- Ability to work with a wide range of stakeholders and convert abstract ideas into actionable requirements

- Experience using web services: Redshift, S3, Spark, Azure ML, TensorFlow

- Hands on experience and understanding of Big Data ecosystem with technologies like Spark/PySpark, MapReduce, Kafka, Hive etc. with unix scripting. Knowledge around NoSQL technologies would be an added advantage.

- Out of the box thinking to solve real world problems

- Should be able to juggle between multiple priorities efficiently

- Work collaboratively with teams across different geographic locations and contribute to Machine Learning capability.

- Good presentation skills - Should be able to present findings and insights in a manner understandable to business.

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