Senior Associate Data Scientist
NTT
Bengaluru Karnataka, Karnataka, India
6d ago

Key Roles and Responsibilities :

  • Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions
  • Research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis, and building algorithms necessary to find meaningful answers
  • Perform analysis using programming languages or statistical packages such as Python and R etc.
  • Mine and analyze data to drive optimization and improvement of business strategy
  • Architect scalable and highly available applications leveraging the latest tools and technologies
  • Creatively visualize and effectively communicate results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business
  • Take ideas to successful launch by leading and mentoring diverse, geo-distributed teams through innovation, bootstrapping, pilot, production, scaling, and maintenance phases with multiple stakeholders to the highest levels of quality and performance
  • Develop SQL Queries for reports and dashboards
  • Analyze relational and transactional databases to provide data analysis, and present results in a clear manner
  • Create documentation around processes and procedures and manage code reviews
  • Apply industry standards best practices to development activities
  • Work on data set to ensure solutions are successfully executed, within agreed upon time frames
  • Knowledge, Skills, and Attributes :

  • Subject matter expertise in data modeling
  • Theoretical understanding of statistical methods and machine learning techniques
  • Ability to thrive in a dynamic, fast-paced environment
  • Excellent quantitative and qualitative analysis skills
  • Strong desire to acquire more knowledge in order to keep up to speed with the ever-evolving field of data science
  • Strong curiosity to sift through data to find answers and more insights
  • Solid understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face
  • Ability to clearly and fluently translate technical findings to non-technical team business stakeholders to enable informed decision-making
  • Ability to create a storyline around the data to make it easy to interpret and understand
  • Theoretical understanding of statistical methods and machine learning techniques
  • Self-driven and able to work independently, yet acts as a team player
  • Able to apply data science principles through a business lens
  • Strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
  • Ability to think strategically about how to use data to drive competitive advantages
  • Academic Qualifications and Certifications :

  • Degree in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field (preferably a bachelor’s degree or equivalent)
  • Relevant programming qualifications and / or certifications
  • Relevant Agile certification is preferable
  • Required Experience :

  • Demonstrable experience with one or more programming languages (e.g. Python), statistical packages (e.g. R), and database languages (e.g. SQL)
  • Demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. (excellence in at least one of these is highly desirable)
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Demonstrable experience in data modeling
  • Demonstrable experience applying statistical methods and machine learning techniques to solve business problems
  • Experience with distributed data / computing tools such as Map / Reduce, Hadoop, Hive, Spark, MySQL, etc.
  • Experience in working in micro-services architecture working with APIs development
  • Demonstrable experience of full-stack software development with prolific coding abilities
  • Demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data
  • Experience with Agile Development Methodologies and Test-Driven Development
  • What will make you a good fit for the role?

  • 2-3 years experience.
  • Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science.
  • or equivalent highly desired.

  • At least one of the following modelling software packages : MATLAB, R, SAS, SPSS.
  • At least one of the following scripting languages : C++, Java, Python.
  • Data visualisation using Tableau / Qlikview / D3.js
  • Demonstrating your ability to adapt quickly and manage an environment of rapid change and development,and lead others through this process
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