Senior Data Scientist

NTT DATA Services•Tampa, FL

11d•Onsite

About The Position

NTT DATA is seeking a Senior Data Scientist to join their team. This role involves driving new data insights, understanding statistics and data visualization, identifying analytic trends, and creating analytic models to answer business questions. The position requires experience in data wrangling and dynamic model tuning, working with complex datasets, and implementing batch and real-time model scoring. The role also involves piping and processing massive data-streams in distributed computing environments and applying business knowledge to analyze data and solve problems.

Requirements

7+ years of experience supporting data science projects in a consulting environment.
7+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops.
7+ years of experience using Python and/or R to analyze disparate datasets.
Firm understanding of statistics and data visualization for communication.
Understanding of business growth areas & how to utilize important data.
Experience in Data Wrangling and Dynamic Model Tuning.

Nice To Haves

Master’s degree preferred.
Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
Team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success.
Professional verbal and written communication.
Undergraduate or Graduate degree preferred.
1+ year of Gen AI / LLM hands on development experience.
Ability to drive individual hands on development plus oversee more junior developers / engineers.

Responsibilities

Driving new data insights to uncover business opportunities & revenue streams.
Identifying new analytic trends/ data needs and repeatable analytic solutions.
Working with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions.
Identifying, analyzing and interpreting trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.
Working on projects leveraging expertise in data science, artificial-intelligence and machine learning.
Assisting in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.
Conducting market research, developing a point-of-view and communicating effectively back to clients and stakeholders.
Bringing innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.
Establishing relationships with clients at the appropriate levels, gaining an understanding of the project work and problems encountered.
Working with data sets of varying degrees of size and complexity including both structured and unstructured data.
Piping and processing massive data-streams in distributed computing environments.
Implementing batch and real-time model scoring.
Assembling large, complex data sets that meet functional / non-functional business requirements.
Applying business knowledge to analyze data, develop reports and solve problems.
Performing ad hoc analyses of data depending on business needs.
Participating in the analysis and resolution of issues related to information flow and content with data stakeholders.