Lead Data Scientist

1 month ago

chennai, India Ready2Hire HR Consulting Full time
Lead DataScientist
Joblocation: Chennai (Work from Office) Job Type:Fulltime Experience: 8 YearsJob Summary:We are looking for DataScientists to lead a data science team and help us gain usefulinsight outof rawdata.Lead Data Scientist responsibilitiesinclude managing the client data science team planning projects andbuilding analytics models. You should have a strong problemsolvingability and a knack for statistical analysis. If you re also ableto align our data products with our business goals we d like totalk to you.Your ultimate goal will be tohelp improve our AI services by making the most out of our client sdata.Responsibilities
  • Youwould be required to Identify develop and implement the appropriatestatistical techniques algorithms and Deep learning / ML Models tocreate new scalable solutions that address business challengesacross industry domains.
  • Define developmaintain and evolve data models tools andcapabilities.
  • Communicate your findings to theappropriate teams throughvisualizations
  • Collaborate and communicatefindings to diverse stakeholders
  • Providesolutions for but not limited to: Object detection/Imagerecognition natural language processing Sentiment Analysis TopicModeling Concept Extraction Recommender Systems Text ClassificationClustering Customer Segmentation & Targeting PropensityModeling Churn Modeling Lifetime Value Estimation ForecastingModeling Response to Incentives Marketing Mix Optimization PriceOptimization.
  • Ability to build train and lead ateam of data scientists.
  • Follow/maintain anagile methodology for delivering on projectmilestones.
  • Excellent oral presentation andwritten communication skills.
  • Experienceapplying statistical ideas and methods to data sets to answerbusiness problems.
  • Mine and analyze data todrive optimization and improvement of product development marketingtechniques and business strategies.
  • Working onML Model Containerisation.
  • Creating ML ModelInference Pipelines.
  • Testing and Monitoring MLModels.
TechStack:
  • Strong Pythonprogramming Knowledge Data Science and AdvancedConcepts like Abstract Class Function Overloading OverridingInheritance Modular Programming andReusability
  • Cloud Experience in using Azureservices
  • REST API using Flask or fastapiframeworks
  • Good to have Pyspark: SparkDataframe Operations SQL functions API ParallelExecution
  • Good to have Unit testing usingPython pytest or Unittest
PreferredQualifications:
  • Bachelors/ Masters/PhD degree in Math Computer Science Information Systems MachineLearning Statistics Applied Mathematics or related technicaldegree.
  • 6 plus years total experience withminimum of 3 years of experience in a related position as a seniordata scientist building Predictiveanalytics Computer Vision and NLP solutions for various types of businessproblems.
  • Advanced knowledge of statisticaltechniques machine learning algorithms and deep learning frameworkslike Tensorflow Keras Pytorch
  • Programmingbackground and expertise in building models using at least one ofthe following languages: Python R
  • Strongindividual planning and project management skills able to jugglemultiple tasks and priorities.
  • Selfmotivatedand driven to deliver agreed resultsontime
  • Ability to convert analytical outputinto clear concise and persuasive insights &recommendations for technical & nontechnicalaudience
  • Strong influence and relationshipmanagement skills.
Keytraits:
  • Should have excellentcommunication skills.
  • Should be self motivatedand willing to work as part of a team.
  • Shouldbe able to collaborate and coordinate with onshore and offshoreteams.
  • Be a problem solver and be proactive tosolve the challenges that come hisway.

r,fastapi,flask,rest,clustering,pytorch,statistics,nlp,fine-tuning,tensorflow,visualizations,inheritance,keras,forecasting,python,overriding,mlmodels,raw data,data science,abstract class,parallelexecution,artificial intelligence,python pytest,conceptextraction,propensity modeling,function overloading,machinelearning,predictive analytics,topic modeling,statisticalanalysis,computer vision,recommender systems,sentimentanalysis,deep learning,churn modeling,azure services,objectdetection,text classification,price optimization,marketing mixoptimization,machine learning algorithms,sql functions api,dataannotation tools,building analytics models,ml modelcontainerisation,spark dataframe operations,natural languageprocessing,lifetime value estimation,mine and analyze data,modelingresponse to incentives,ml model inference pipelines,define,develop, maintain and evolve data models

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