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Lead Data Scientist

5.00 to 10.00 Years   Noida   08 Dec, 2023
Navikenz
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryOthers
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Lead a team of data scientists and ML engineers for program executions Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company s ecosystem Provide support to data science team with high-level expertise in an open-source language (e.g., R, Python, Julia, etc.) Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms (e.g. XGBoost, H2Oai, Spark, Hadoop, etc.) Work on papers to publish problem solving approach with ML Models, NLP and Computer vision techniques Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Utilize data visualization tools to deliver insights to stakeholders. Prepare, maintain and present clear and coherent communication, both verbal and written, to understand data needs and report results Working with the. Navikenz Solution Architect, build/operationalize the defined solution to be scalable, maintainable and production-ready Conduct research and develop prototypes and proof of concepts Qualifications/Experience The ideal candidate will have a Bachelors, Masters degree or PhD in Statistics, Mathematics, Computer Science or another quantitative field, with at least 5 years of professional experience manipulating data sets and building statistical models, and familiar with the following software/tools/techniques (overall 10 years of experience): Combined knowledge of computer science and applications, modeling, statistics, analytics and maths to solve problems Knowledge and experience in statistical, machine learning algorithms and techniques: Regression, Classification, Random Forest, Boosting, Decision Trees, text mining, social network analysis, neural networks, etc. Coding knowledge and experience with several languages: Python/R/Julia, Java/Javascript, REST, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Databricks, H2O.ai, etc. Experience visualizing/presenting data for stakeholders using: Matplotlib, ggplot, D3, etc. Experience with cloud based platforms/products - AWS, Azure, GCP, Kubeflow, AutoML etc,

Keyskills :
data sciencemachine learningPythonSparkHadoopNLPComputer visiondata visualizationstatisticsmathematicscomputer sciencemodelinganalyticscodingJavaJavascriptRESTMapReduceHiveMatplotlibAWSAzureGCPJuliaXGBoostH2OaiML Modelsdistrib

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