Senior Data Scientist

Teradata Corporation
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Job Description

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

  • Grow/enhance Data Science practice in GDC India
  • Lead, coach and mentor a team of Data Science experts, specializing in big data Analytics
  • Work in close coordination with Data Science teams in other GDC centers as well International Data Science teams to serve global customers.
  • Work with other GDC and Teradata teams to produce packaged solutions, in addition to supporting Data Science projects and PoCs/PoVs.
  • Work in a team to define and execute data science solutions that address client use cases and business requirements
  • Define activities, scope, and timelines on data science projects
  • Deliver projects following our internal frameworks and best practices
  • Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies
  • Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches
  • Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities
  • Guide junior members of the delivery team during projects

Who You'll Work With

  • Work in close coordination with Data Science teams in other GDC centers as well International Data Science teams to serve global customers.
  • Work with other GDC and Teradata teams to produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs.
  • Work as an individual contributor to define and execute BI solutions that address client use cases and business requirements.
  • Define activities, scope, and timelines on BI projects.
  • Deliver projects following our internal frameworks and best practices.
  • Define Semantic Model & BI Access Layer in DWH using tables / views as per reporting requirements.
  • Act as Tableau expert to advice customers in defining Tableau Roadmap, Security guidelines and Tableau architecture for Complex enterprise systems.
  • Design and develop complex Tableau Analytical solutions.
  • Experienced in implementing Tableau solutions in Agile environment.
  • Will need to be a quick learner with the desire to improve skill sets
  • As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database
  • This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities

What Makes You a Qualified Candidate

  • Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science)
  • 8 years of related work and/or research experience in quantitative roles
  • In-depth knowledge in at least 2 of the following data science domains
  • Text Mining / NLP
  • Graph and Network Analysis
  • Deep Learning/AI
  • Geospatial Analysis
  • Signal Processing, Image, Video
  • Predictive Modeling and Recommender Systems
  • Extensive knowledge of at least one open-source scientific language such as Python
  • Knowledge of enterprise statistical programming tools such as SAS, Matlab, STATA or SPSS is a plus
  • Fluency in SQL and good knowledge of relational databases
  • Passionate about asking and answering questions in large, distributed datasets
  • Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python

What You'll Bring

  • Experience implementing end-to-end large scale Machine Learning/AI project
  • Experience in Python, SQL
  • Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations
  • Possess strong interpersonal and communication skills
  • Be proficient in the use of both written and spoken business English
  • Proven skills in creative-problem-solving of complex and advanced technical subject matter
  • Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place
  • Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver.
  • Will have prior experience of working in a multi-country organization
  • Have the ability to collaborate with an interdisciplinary team to solve problems
  • Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems
  • Be willing to travel up to 40-70%

Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Company Info.

Teradata Corporation

Teradata Corporation is a data and analytics company. specializes in helping organizations manage and analyze large amounts of data, including structured and unstructured data from various sources. Its solutions include data warehousing, data integration, data discovery, business intelligence, and advanced analytics.

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