Job details

Country

USA

State / Region / Province

Arizona, California, Georgia, New Jersey, North Carolina, Texas

Work Location

Alpharetta, GA, Austin, TX, Bridgewater, NJ, Charlotte, NC, Houston, TX, Phoenix, AZ, Raleigh, NC, Richardson, TX, Sunnyvale, CA, Tempe, AZ

Domain

Delivery

Interest Group

Infosys Limited

Skills

Domain(IBPO)|Analytics- Data science|Statistical Tools, Technology|Data Science|Machine Learning

Company

ITL USA

Requisition ID

124453BR

Salary min

94000

Salary max

164500

Job description

Infosys is seeking a Data Scientist with Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Machine Learning models that includes identification of ‘right’ problem, designing ‘optimum’ solution, implementing using ‘best in class’ practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms.

Required Data Scientist Qualifications:Bachelor’s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 8 years of Information Technology experienceAt least 4 years of hands-on data science with machine learningExperiences with Python or RExperience with data gathering, data quality, system architecture, coding best practicesExperience with Lean / Agile development methodologiesThis position may require travel, will involve close co-ordination with offshore teamsThis position is located in Bridgewater, NJ / Sunnyvale, CA / Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. This position may require travel.Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQLDeep Learning experience with CNNs, RNN, LSTMs and the latest research trendsPrior experience in cognitive services provided by various platforms such as AWS, GCP, Azure, IBM WatsonPrior experience in Azure chatbot, Google DialogFlow, Alexa, RASA, Amazon LexExperience with perception (e.g. computer vision), time series data (e.g. text analysis)Big Data Experience strongly preferred, HDFS, Hive, Spark, ScalaData visualization tools such as Tableau, Query languages such as SQL, HiveGood applied statistics skills, such as distributions, statistical testing, regression, etc.The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.


Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :Medical/Dental/Vision/Life InsuranceLong-term/Short-term DisabilityHealth and Dependent Care Reimbursement AccountsInsurance (Accident, Critical Illness , Hospital Indemnity, Legal)401(k) plan and contributions dependent on salary levelPaid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.