<p><p><b>Position Summary :</b><br/><br/></p><p>As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions.
You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes.
This role demands strong leadership, deep technical expertise, and a passion for continuous Responsibilities :</b></p><p><br/></p>- Manage a team of data scientists, machine learning engineers, and big data specialists.<br/><br/></p><p>- Lead data mining, data collection, and cleansing procedures.<br/><br/></p><p>- Ensure high standards of data quality and integrity across all projects.<br/><br/></p><p>- Interpret complex data sets to identify patterns, trends, and actionable insights.<br/><br/></p><p>- Conceive, plan, and prioritize data science initiatives aligned with business goals.<br/><br/></p><p>- Develop and deploy scalable analytics systems and predictive models.<br/><br/></p><p>- Test and validate data-driven products for performance and reliability.<br/><br/></p><p>- Create compelling visualizations and comprehensive reports for stakeholders.<br/><br/></p><p>- Experiment with emerging models and machine learning techniques for & Experience :</b></p><p><b><br/></b></p>- 6 to 8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe.<br/><br/></p><p>- Experience in Text Analytics using NLP tools and techniques on unstructured data.<br/><br/></p><p>- Proven track record in building, deploying, and scaling statistical and deep learning models.<br/><br/></p><p>- Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems.<br/><br/></p><p>- Ability to thrive with minimal supervision in a dynamic, fast-paced environment.<br/><br/></p><p>- Capability to understand diverse business processes and quickly contextualize data requirements.<br/><br/></p><p>- Strong problem-solving skills to translate business problems into actionable data strategies.<br/><br/></p><p>- Excellent communication skills (verbal and written) with a learning and innovation mindset.<br/><br/></p><p>- Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation.<br/><br/></p><p>- Hands-on experience with exploratory data analysis, machine learning, and advanced analytics We Offer :</b></p><p><b><br/></b></p>- Competitive compensation based on skills and experience.<br/><br/></p><p>- Leadership role in building and scaling AI/ML initiatives.<br/><br/></p><p>- Opportunity to work on high-impact global projects with cutting-edge technologies.<br/><br/></p><p>- Continuous learning, innovation, and professional development support.<br/><br/></p><p>- A collaborative, inclusive, and tech-driven workplace environment.</p><br/></p> (ref:hirist.tech)