Data Scientists with career break-Woman - Gurugram, India - Her second innings

Description

Job Title:
DataScientists

Location:
Gurgaon Bangalore Pune Noida MumbaiHyderabad
Experience: SA L1 57yrs/SA L2 79yrs/Manager 9 14yrs

12 monthsrecent career gapmandatory

ONLYWOMAN CANDIDATESAPPLY

JOBTITLE DATASCIENTISTS

EXPERIENCE
Manager10 years with at least 7 years of DS
SA L2 7 yearswith at least 2 years ofDS
SA L1 4 yearswith atleast 2 years ofDS
experience
PRIMARYRESPONSIBILITIES UnderstandBusiness problems and KPIs by holding discussions with relevantcustomer stakeholders Prescribe the rightdata science approach to solve customer s Businessproblems Identify the different data sourcesneeded for project execution including both internal andexternaldata Ensureproper DQ checks are done and the data is well understood by theTeam Document DQ related issues and barriersand take it up with Customer stakeholdersGenerate hypothesis for performing various Exploratory analysis andlead the effort Storyboard the findings indata and explain the Business value convincingly tocustomers Drive analytical modeling using avariety of learning algorithms and ability to compare modeloutputswithout BiasDemonstrate Business value of Analytical models and ensure they aredeployed in Production Prescribe the rightData technologies to use in Production and lead the Data pipeliningeffort forproductionOrchestrate Data and ML solutions using Cloudservices Employ CI/CD practices in Modeldeployment and produce a stateofart model deployment thatcanbe Traceable Bethe anchor for Customer calls and ensure customer communication iseffective Ensure that right codingguidelines and processes are followed by theTeam Institutionalize good Data Sciencepractices in the Team Ensure properdocumentation via good project management tools like ConfluenceJIRA etc. Author Technical blogs bothinternally and externally and evangelize the Team sefforts
EXPERIENCEBS/MS in Computer Science Math Physics Engineering Statistics orother quantitative orcomputational field.

Advanced degrees preferred Should know whatmodel to apply and in what situation to apply (know advantages anddisadvantages of ML /DLtechniques) Proven ability to performindepth analysis compile and interpretresults Demonstrate proficiency with variousapproaches in regression classificationandcluster analysisGood understanding of applied statistics such as probabilitydistributions measures ofdispersion andcentral tendency hypothesis testing and statisticalinferences.

Demonstrate proficiency in atleast one Deep learning technologiesDemonstrated Experience in at least in one of the followingNLP/computervision/operations research/datamining/ML/AI Must have experience ML modelsin R/ Python Demonstrable strength inprogramming in Python/R/Scala Should havegood experience in Object oriente technologies andDesign Experience with one or more datavisualization tool / library such as Tableau R ShinySeabornetc Expertisein SQL programming languages and familiarity with HivePig Excellent quantitative skills and theability to tell a story using data Strongcommunication and presentation skillsAbility to initiate and drive projects from conception tocompletion with minimal guidance Passionateabout turning data into actionableinsights
GOOD TOHAVE: M.S.

inComputer Science Math Physics Engineering Statistics or otherquantitative orcomputationalfield Expertise in application of machinelearning algorithms on large datasetsExperience with large datasets and distributed computing (HadoopSpark) a plus Experience accessing datamapreduce programming style and training models inHadoopSparkExperience in deploying models in cloud platforms such as GoogleCloud/Microsoft Azure/AWSis aplus Nice to have knowledge of NoSQL DBslike MongoDB Cassandra and HBaseContribution to research community reflected in publications in topconferences/KagglecompetitionsKnowledge of latest DLtechnologies
PERSONALATTRIBUTES Strong written andverbal communication skills Articulationskills Good teamplayer Selfstarter who requires minimaloversight Ability to prioritize and managemultiple tasks Process orientation and theability to define and set upprocesses
regression,cluster analysis,ml anddeep learning,algorithims,python and r,statistics andcloud