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Data Scientist (6 10 Years of Experience)

Keywords / Skills : Data Scientist, Python, Scala, R, SPSS , SAS

6 - 12 years
Posted: 2019-02-27

IT/Computers - Software
Datawarehousing Consultants
Posted On
27th Feb 2019
Job Description
"Role: Data Scientist (6 10 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.

? Ability to work with ambiguous situations and uncertainty

? 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.

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