Data Scientist - Machine Learning

Company: Conduent
Location: Morrisville, North Carolina, United States
Type: Full-time
Posted: 01.SEP.2021
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Summary

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 ...

Description

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them.You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.Why Conduent:You'll have an opportunity to work on innovative technology while being surrounded by a culture that recognizes each person's contributions. Each day you'll feel challenged and know you are making a difference. At Conduent, we believe everything touches everything -and to that end we value our work and each other in the process, making it an award-winning place to work. In 2021, we won Best Places To Work, Best Global Culture and Best HR Team.You have an opportunity to personally and professionally thrive, make a difference, and be part of a culture where individuality and participation is valued.We are looking for a Data Scientist to work on machine learning, predictive modelling and prescriptive analysis of data pertaining to real-world scenarios. Successful candidate will be expected to use state of the art techniques in machine learning and statistical modeling for innovative analytics applications in a set of industrial verticals including, but not limited to, healthcare, customer care, workforce management and transportation. Candidate should be comfortable with building predictive models involving Big Data, structured and unstructured. Text analytics and advanced forms of NLP/NLU is a big plus. The applicant should also have strong skills in explaining and interpreting the analytic models and outcomes in both techniques and application contexts.We need someone who can:+ Design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems.+ Create robust predictive models from A-Z and be able to integrate and deploy these models as part of a system design which is applicable, verifiable, repeatable and scalable.+ Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and organize experiments using best practices.+ Work with development teams & business groups to ensure models can be implemented as part of a delivered solution which is applicable and replicable across many clients.+ Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand.+ The applicant should also have strong skills in interpreting analytic models in both techniques and application contexts.+ Ability to explain analytics and data insights in simple and digestible form.Basic Qualifications for Consideration:+ BS/MS in Data Science or related field.+ Minimum of 3 years of hands-on experience with real-world data and Data Science is required.+ Demonstrated history of driving and delivering analytics models and solutions.+ Deep knowledge of fundamentals of machine learning, and predictive modeling, and experience applying these methods to real world problems.+ Strong skills in analytics software especially in Python and open-source machine learning and analytics packages to generate deliverable modules and prototype demonstrations.+ Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice.+ Demonstrated ability to propose novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context.+ Strong analytical, written, and verbal communication skills.+ Ability to explain complex ideas in simple terms.+ Keen on collaboration and teamwork in a multi-disciplinary environment.Preferred Qualifications For Consideration:+ PhD is highly desirable+ Agile process experience.+ Knowledge of Azure and AWS are desirable.+ Text analytics and advanced forms of NLP/NLU is a big plus.+ Knowledge of R, C/C++ is a plus.Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form () . You may also click here to access Conduent's ADAAA Accommodation Policy (\_adaaa\_accommodation\_pol.pdf) .

 
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