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8.0 - 15.0 years
0 Lacs
karnataka
On-site
As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,
Posted 5 days ago
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