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Senior Data Scientist

2 months ago

Tampa, United States LTIMindtree Full time

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .

Job Title: Data Scientist

Work Location: Tampa,Florida

Job Description:This is an expert technology role in AIML space in a fastpaced delivery organization supporting regulatory compliance This position is part of AML Global Technology team and will work closely with data scientists ML professionals project managers architecture teams and other stakeholders The individual will be responsible to drive the development of the AI technology roadmap provide the required support to the Product team for endtoend life cycle encompassing design development and deployment of ML based solutions at an enterprise scale to support business use cases

The individual should also be able to support multiple projects end to end provide technical expertise and guidance to both Product and Development teams and be responsible for successful execution of the projects running in AML monitoring space

RESPONSIBILITIES

Support the team providing end to end solution starting from understanding the requirements creating research proposals implementation of the research by exploring different methods and algorithms documenting and presenting results

Use analytical and statistical methods programming and data modeling to analyze large amounts of data and come up with actionable insights

Generate and test hypotheses designing experiments to answer targeted questions of advanced complexity

Documents projects including business objectives data gathering and processes leading approaches final algorithm and detailed set of results and analytical metrics

Work with Product Business Analysts data scientists ML engineers business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale

Provide thought leadership by researching standard methodologies in AIML collaborating and contribute actively on the standards and best practices

Take ownership and have end to end responsibility from planning stage to presenting results

Work in an agile environment by continuously reviewing the business needs refining priorities outlining milestones and deliverables and identifying opportunities and risks

Create features and functionalities which enable achievement of business goals by collaborating with stakeholders

Create and support the product backlog prioritizing features which enable maximizing the business value

Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint

Participate in the testing review sessions and provide support for release

Contribute to the team in various aspects knowledge sharing guidance to more junior members contribute to shared code library establish best practices and methodologies

QUALIFICATIONS

Total 12 years of working experience in development and implementation of ML based solutionspipelines with atleast 5 years of relevant experience in providing expertise in large scale ML projects

At least 5 years of handson data science experience in using data analytics visualization statistical programming and data mining for problemsolving Domain knowledge and experience in Banking and AML is a plus

Proven experience in development and implementation of ML based solutionpipelines in a large scale enterprise setup

Excellent understanding of data science machine learning techniques algorithms and toolkits to develop scalable solutions for production

Applied quantitative and statistics skills such as statistical analysis distributions multivariate testing regression classification and optimization algorithms etc to design tests interpret and explain results

Familiar with MLOps tools like MLflow or Kubeflow deep learning frameworks like Tensorflow or Pytorch

Knowledge in big data systems Hadoop Spark Hive

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ):

Benefits and Perks:

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.