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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Job Description Please make sure candidate should qualify checklist written below: The candidate a full time Msc (stats / Econometrics , Maths) or Btech or PhD The candidate working in any product startup / analytics / fintechfirm The candidate has strong exposure in solving complex problems in different space please mention The candidate has min 7 - 8 years of strong Data Science , Machine Learning Algorithms experience and has worked on big data stacks Experience;8.0 - 12.0 Year(s) QUALIFICATION B TECH. / BE / B SC (FULL TIME ONLY) , M SC No of opening 1 Working days 5 Responsibilities: Maintain and work with our data pipeline that transfers and processessevera l terabytes of data using Spark , Scala , Python , Apache Kafka , PySpark. Work directly with internal teams to understand their needs / offerings and buildplatform componentsthat meet those needs. Design , build and support pipelines of data transformation , conversion , validation Build data manipulation , processing , and data visualization tools and share these tools acrossthe team. Leverage your statistical and computational knowledge to design and buildintelligent Work with development teams to build tools for data logging and repeatable data tasks thatwill accelerate and automate data scientist duties. Assist senior management in making key business decisions Assist in presenting and showcasing capabilities to external stakeholders . Provide guidance and architecture support to platform development teams. Qualifications: 5+ years of experience working with large data sets or do large scale quantitative analysisBachelor s or Master s degree in Computer Science , Math , Physics , Engineering , Statistics or other technical field. PhD preferred. Expert SQL scripting required. Development experience in one of the following: Scala , Java , Python. Experience working with Hadoop , Spark , Big Data ML frameworks Ability to drive projects Basic understanding of statistics hypothesis testing , p - values , confidence intervals , regression , classification , and optimization are core lingo. Strong algorithmic problem - solving skills . Experience manipulating large data sets throughscalaand Python / R . Superior verbal , visual and written communication skills to educate and work with cross functionalteams on controlled experiments. A willingness to learn , share , and improve. Experimentation design or A / B testing experience is preferred. Target Companies Analytics , Product , fintech , aXtria , Fractal , Musigma , Dunhumby , Flipkart , Amazon , Adobe , Microsoft,
Keyskills :
sql python analytics achinelearning datavisualization bigdata sqlscripting apachekafka buildtools hypothesistesting datamanipulation datascience dataanalysis computerscience seniormanagement