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Popular ML scientist role with broad ML, CV, and statistical requirements at a mid-tier employer.
Requires specialized ML and computer-vision expertise but skills are transferable across industries with ML needs.
Degree-linked years plus mandatory ML, computer-vision, and statistical tool requirements raise screening rigidity.
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Lead design and execution of statistical and predictive models, including computer vision models, to support business decision-making and evaluate business performance.
Collaborate with business partners to identify opportunities, define data requirements, design experiments, and communicate findings to multiple departments.
Provide expertise and guidance on complex statistical analyses and advanced analytics projects, supporting implementation and adoption of models across the organization.
Bachelor’s degree with 6+ years, Master’s with 4+ years, or PhD with 3+ years relevant experience in Data Science, AI, or Machine Learning algorithm development.
Proficient in programming languages and statistical tools including Python, SAS, R, JMP, SQL, and data visualization software pref. PowerBI.
Experience with machine learning packages (Scikit-learn, Xgboost, Keras, Pytorch, Tensorflow) and advanced statistics techniques in business contexts.
Domestic and International travel required; Location: Tamil Nadu, India.
Experienced in advanced statistical and machine learning model development including experimental design for business initiatives and computer vision applications.
Skilled at bridging technical analysis with business needs and communicating complex statistical findings to diverse non-technical stakeholders.
Capable of leading complex analytics projects independently and providing mentorship and knowledge transfer to less experienced analytics staff.