01Responsibilities
Design, develop, and deploy machine learning models and algorithms
Collaborate with cross-functional teams including product management, engineering, and business stakeholders to define project objectives, scope, and deliverables
Develop and Execute technical strategies and progress updates to stakeholders and executive leadership
Stay updated on the latest trends and advancements in data science, machine learning, and AI, and evaluate their potential impact on our business
Lead the evaluation of new AI tools, frameworks, and methodologies, advocating for the adoption of technologies that align with our strategic goals
Capable of translating business problem statement into machine learning problem statement
Design e2e analytics pipeline
Qualifications:
Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred
Minimum of 5-8 years of qualified experience in data science or related fields
Proven experience leading data science projects from inception to delivery, with a strong focus on business impact and value creation
Expertise in machine learning, statistical analysis, and predictive modelling techniques
Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders
Experience in predictive analytics within the automobile domain is a plus
Experience working in Agile/Scrum development environments is a plus
Experience in Data engineering and Data visualization platforms is a plus
Experience working on cloud platforms such as AWS Cloud is a plus
Job Segment: Engineer, Scientific, Engineering .
