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ETL Lead & Data Science

Keywords / Skills : SQL, Data Analysis, Text Mining, SAS, R, Statistical Modeling, Statistical Software, Business Analytics, Data Science, SPSS, ETL Lead, datawarehousing lead

7 - 10 years
Posted: 2018-11-06

Industry
IT/ Computers - Software
Function
IT
Role
Datawarehousing Consultants
Posted On
6th Nov 2018
Job Description
Data Scientist (8 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.

About Company

Founded in 2003, CPG has grown from a startup to $10+ million Technology Services Company. We believe in Integrity and Fairplay and that is one of our key values and differentials from other service providers. We live by the maxim 'Every Second Counts' At CPG, people, products and processes converge to create compelling, high-value, low-cost solutions in record time. We measure our success in terms of the value we provide to our customers and the extent to which we contribute in helping our customers achieve their ROI goals and competitive advantage.
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