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Data Science

3 months ago

Bengaluru, Karnataka, India Spectral Consultants Full time
Responsibilities:

Develop advanced algorithms that solve problems of largedimensionality in a computationally efficient and statisticallyeffective manner
Executestatistical and data mining techniques (e.g. hypothesis testingmachine learning and retrieval processes) on large data sets toidentify trends figures and other relevantinformation
Collaborate withclients and other ZS stakeholders to effectively integrate andcommunicate analysis findings
Contribute to the evaluation of emerging datasets and technologiesthat may contribute to our analyticalplatform
Evaluating emergingdatasets and technologies that may contribute to our analyticalplatform
Owning the developmentof select assets/accelerators for efficient scaling of capabilitywith a focus on leveraging generative AI and deep learningmethodologies.
Integrateengineering principles into data science workflows optimisingalgorithms for performance scalability andmaintainability.
Collaborate withthe engineering team to implement and deploy data science solutionsinto production ensuring seamless integration with existingsystems.
Utilize softwareengineering best practices for version control code review testingand documentation to maintain highquality reliable andreproducible

RequirementsQualifications:
  • ExperienceRange: We are targeting candidates with 6 months to 3 years ofexperience. 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 haveworked with end to end model building (development to deploymentfrom scratch) machine learning algorithms (regressions randomforest decision tree XGBoost Model) and strong hands on experienceworking with Python.
  • 13 years ofData Science experience including proficiency in generative AI deeplearning statistical techniques and engineering integration forscalable solutions.
  • Knowledge ofprogramming (e.g.Java/Python/R);
  • Knowledge of bigdata/advanced analytics concepts and algorithms (e.g. text miningsocial listening recommender systems predictive modellingetc.);
  • Excellent oral and writtencommunication skills.
  • Strongattention to detail with a researchfocusedmindset;
  • Excellent critical thinkingand problemsolving skills;
  • Highmotivation good work ethic andmaturity.
  • Exposure to Generative AIand its usage to solve problems is aplus.


Qualifications: Experience Range: We are targeting candidates with6 months to 3 years of experience. Candidates who have 7 or moreCGPA. Education Criteria: B.E/B.Tech, M.E/M.Tech (any stream), B.Sc/M.Sc (Statistics & Mathematics) Candidate should have workedwith end to end model building (development to deployment fromscratch), machine learning algorithms (regressions, random forest,decision tree, XGBoost Model) and strong hands on experienceworking with Python. 1-3 years of Data Science experience,including proficiency in generative AI, deep learning, statisticaltechniques, and engineering integration for scalable solutions.Knowledge of programming (e.g. Java/Python/R); Knowledge of bigdata/advanced analytics concepts and algorithms (e.g. text mining,social listening, recommender systems, predictive modelling, etc.);Excellent oral and written communication skills. Strong attentionto detail, with a research-focused mindset; Excellent criticalthinking and problem-solving skills; High motivation, good workethic and maturity. Exposure to Generative AI and its usage tosolve problems is a plus.