Lead Data Scientist

Experience : 2.5 to 4 Years
Education : Any Graduate
Location : Bangalore
Job Role : Others
Posted on 04 Jan 20
Job is expired
Job DescriptionLast Date 14 Feb 20
Lead Data Scientist

Bangalore, Karnataka

Job ID: RR-31268

What You Need :

  • 2+ years of experience with R/SAS/Python or related statistical software package including programming skills
  • Experience developing successful predictive models using regression analysis
  • Proven experience in UNIX based operating systems
  • Fluency in verbal and written Enghlish - ability to explain facts and concepts, engage in discussions, recap meeting points, etc.
  • Good project management skills, especially in timeline management, QA, team communications, clear understanding of roles and responsibilities
  • Experience on analyzing media KPIs such as effectiveness, ROI, saturation levels   leveraging insights and translating to recommendations
  • Data modeling and management, integration and manipulation of large disparate datasets
  • Predictive modeling and optimization
  • Very good knowledge of SQL
  • Be able to participate in cross functional projects & teams
  • Strong skills in Excel & Power Point

Nice to have: 

  • 2+ years of experience in Marketing Mix OR Pricing OR Retail Assortment Analytics role handling and manipulating data from multiple sources and integrating them into a single source view/report/dataset
  • 4-6 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
  • Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
  • Organize / Prepare / Manage data and conduct quality checks to ensure that the analysis dataset is ready
  • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
  • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
  • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
  • Be able to succinctly visualize the findings through PowerPoint and Unify and highlight the key takeaways from a business perspective
  • Superior problem solving and strong analytical thinking
  • Desire to work in a fast paced, challenging environment where you need to push yourself all the
  • Expertise in managing, cleaning and analyzing large datasets using tools like Python, R or SAS
  • Experience in using multiple advanced analytics techniques or machine learning algorithms
  • Understanding of consumer businesses such as Retail and/or CPG
  • Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
  • Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X),ML, etc.
  • Ability to create client ready deliverables in Excel and PowerPoint

Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion,Gender, sexual orientation, gender identity, national origin, disability or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. 
Job is expired
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