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Data Scientist

5.00 to 8.00 Years   Bangalore   09 Aug, 2021
StratTek Consulting Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

As part of the Marketing team you will be a key player in the Analytics and Data Science team. One of your main responsibilities is to run predictive models using machine learning and statistical techniques to drive marketing tactics, such as Paid Search, Paid Social, Owned, Earned, Email, Direct Mail, Affiliate, etc.We are looking for someone with strong ecommerce experience, someone who is well versed in data modelling (creating lookalike segments, deriving LTV, doing predictive models, customer segmentation, time series models .), the person must be very familiar with Paid Media (automated bidding, programmatic bidding), must be fluent with GA360 and dashboarding tools like Tableau/Lookers/Power BI, must have strong knowledge of Data Bases (SQL knowledge)/familiarity with Data Lake (and clustered DBs)/DW/ BigQuery, and must be comfortable with Python and RHeres what youll do:

  • Analyze visitor level data to measure the impact of the different marketing channels and devices through the consumer decision journey
  • Help with all web analytics tracking initiatives using Google Analytics and BigQuery Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Engage in Data Modelling, Attribution, and Behavior Analysis
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, Ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Prepare PowerPoint decks and present findings to VP of Marketing
Heres what youll bring to the table:
  • Masters in Statistics or Applied Mathematics required
  • 5-7 years of experience manipulating data sets and building statistical models
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience analyzing 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 with BI reporting tools like Tableau, Looker and Power BI
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams. Strong presentation skills, with the ability to translate data into business insights
  • A drive to learn and master new technologies and techniques.

Keyskills :
pythonsqldata analysisanalyticsmachine learning

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