Position Details

Salary $96K – $131K USD / year

Type Not Specified

Experience mid

Exp. Years 2 years

Education Master's degree or Bachelor's degree + 2 years experience

Category AI & Machine Learning

About this role

This role focuses on designing data processes to consolidate and analyze unstructured big data and turn it into actionable insights. You will build machine learning models and communicate results to product, service, and business managers.

Key Responsibilities

Design and develop methods/processes/systems to consolidate and analyze unstructured big data
Identify questions/issues with product and service teams for data analysis and experiments
Develop and implement machine learning models and algorithms to cleanse/integrate/analyze datasets
Identify and interpret meaningful insights from data and metadata, and communicate findings
Generate actionable insights and solutions for client services and product enhancement

Technical Overview

You will work with unstructured big data and metadata sources, apply machine learning models and algorithms to cleanse, integrate, and analyze large datasets, and support data analysis and experimentation. The output is insight and recommendations used by client services and product teams.

Ideal Candidate

The ideal candidate has a Master's degree or a Bachelor's degree plus 2 years of experience, with strong experience designing data processes for unstructured big data sources. They can develop and implement machine learning models and algorithms to cleanse, integrate, and analyze large datasets, and they clearly communicate experimental and analysis results to business and product leaders.

Must-Have Skills

Design and develop methodsprocessesand systems to consolidate and analyze unstructureddiverse big data sourcesDevelop and implement machine learning models and algorithmsInterpret and communicate insights and findings from analysis and experiments

Tools & Platforms

machine learning modelsbig data sources

Required Skills

Design and develop methodsprocessesand systemsconsolidate and analyze unstructuredbig data sourcesgenerate actionable insightsdata analysis and experimentsidentify insights from data and metadata sourcesinterpret and communicate insightsdevelop and implement machine learning models and algorithmscleanseintegrateanalyze large datasetsclient servicesproduct enhancement

Hard Skills

Design and develop methodsprocessesand systemsConsolidate and analyze unstructureddiverse big data sourcesGenerate actionable insights and solutionsData analysis and experimentsIdentify meaningful insights from large data and metadata sourcesInterpret and communicate insights and findings from analysis and experimentsDevelop and implement machine learning models and algorithmsCleanse large datasetsIntegrate large datasetsAnalyze large datasetsClient servicesProduct enhancement

Soft Skills

Communicate insights and findings to productserviceand business managersCollaborate with product and service teamsProblem-solvingExperimentation mindset

Industry & Role

Industry Telecom

Job Function Analyze unstructured big data and apply machine learning to deliver actionable insights for client services and product enhancement

Role Subtype Data Scientist

Tech Domains AI & Machine Learning, Data & Analytics

Keywords for Your Resume

Business Operations AnalystDesign and develop methodsprocessesand systemsconsolidate and analyze unstructuredbig dataactionable insightsdata analysisexperimentsmachine learning modelsmachine learning algorithmscleanseintegratemetadata sourcesinterpret and communicateclient servicesproduct enhancementdomestic traveltelecommuting permittedTelecommuting2 to 3 days per weekMasters degreeBachelors degreeRelocation Provided None

Deal Breakers

Must have a Master's degree or Bachelor's degree + 2 years experience, Must be able to develop and implement machine learning models and algorithms, Must be able to interpret and communicate findings from analysis and experiments

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