Data Science

3 months ago


Sany, India SPECTRAL CONSULTANTS Full time
Responsibilities:
Develop advanced algorithms that solveproblems of large dimensionality in a computationally efficient andstatistically effective manner
Execute statistical anddata mining techniques (e.g. hypothesis testing machine learningand retrieval processes) on large data sets to identify trendsfigures and other relevant information
Collaborate withclients and other ZS stakeholders to effectively integrate andcommunicate analysis findings
Contribute to theevaluation of emerging datasets and technologies that maycontribute to our analytical platform
Evaluatingemerging datasets and technologies that may contribute to ouranalytical platform
Owning the development of selectassets/accelerators for efficient scaling of capability with afocus on leveraging generative AI and deep learningmethodologies.
Integrate engineering principles intodata science workflows optimizing algorithms for performancescalability and maintainability.
Collaborate with theengineering team to implement and deploy data science solutionsinto production ensuring seamless integration with existingsystems.
Utilize software engineering best practices forversion control code review testing and documentation to maintainhighquality reliable and reproducible Qualifications:
  • Experience Range: We are targeting candidates with 6months to 3 years of experience. Candidates who have 7 or moreCGPA.
  • Education Criteria: B.E/B.TechM.E/M.Tech (any stream) B.Sc /M.Sc (Statistics &Mathematics)
  • Candidate should have worked withend to end model building (development to deployment from scratch)machine learning algorithms (regressions random forest decisiontree XGBoost Model) and strong hands on experience working withPython.
  • 13 years of Data Science experienceincluding proficiency in generative AI deep learning statisticaltechniques and engineering integration for scalablesolutions.
  • Knowledge of programming (e.g.Java/Python/R);
  • Knowledge of big data/advancedanalytics concepts and algorithms (e.g. text mining sociallistening recommender systems predictive modeling etc.);
  • Excellent oral and written communicationskills.
  • Strong attention to detail with aresearchfocused mindset;
  • Excellent criticalthinking and problemsolving skills;
  • Highmotivation good work ethic and maturity.
  • Exposure to Generative AI and its usage to solve problemsis a plus.


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