163 applicants

Company

Original Job Post

Infosys · 5 days ago

Data Science Lead

North Carolina, United States

Full-time

Onsite

Senior Level

4+ years exp

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akshaya c.k. ck

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Responsibilities

Look at data from multiple sources and integrate data/inputs to build cause-effect linkages.

Use understanding of the problem to arrive at multiple solution alternatives and assess pros and cons to arrive at the optimal solution.

Collaborate with business users to assess and elaborate Analytics Use cases.

Perform Data Wrangling to prepare data for analysis.

Perform Exploratory Data Analysis on customer data.

Develop, Test, Deploy, and Monitor ML Models.

Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AIML algorithmsAzure MLAWS SageMakerSQLTableauStatistical ModellingRegression modelsTime series modellingMachine learningObject oriented programmingPythonData WranglingExploratory Data AnalysisDeployMonitor ML ModelsData ScientistsAlgorithm choiceQASASPandasNumpyMatplotlibSeabornVersion ControlGitCI/CD PipelinesDeep LearningTensorflowKeras

Required

Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 4 years of experience in Information Technology.

Candidate must live within commuting distance of Raleigh, NC / Hartford, CT / Richardson, Tx or be willing to relocate. Travel within the US may be required.

U.S. citizens and those authorized to work in the U.S. are encouraged to apply.

Strong knowledge of AI and ML algorithms and hands-on experience in using tools like Azure ML or AWS SageMaker to implement and deploy the models

Hands on experience in SQL and Tableau

Strong Statistical Modelling, Regression models (linear, lasso, ridge, and non-linear regression etc.) Time series modelling (ARIMA, fbprophet, ETS, etc.) and Machine learning

Proven and proficient in Object oriented programming in Python.

Collaborate with business users to assess and elaborate Analytics Uses cases

Perform Data Wrangling to prepare data for analysis

Perform Exploratory Data Analysis on customer data

Develop, Test, Deploy and Monitor ML Models

Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective

Preferred

Hands on experience in SAS/Python

Strong experience in Python data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn etc.

Good understanding of version control tools like git & Experience building CI/ CD pipelines.

Familiarity with deep learning libraries like Tensorflow, Keras, pytorch

Understanding and awareness for Data science lifecycle

Excellent business communication and excellent relationship management ability and the ability to work across business units within complex organization