Manager - Data Science

Role Overview : We are seeking a highly motivated and experienced Manager - Data Science to lead and grow our data science team in Hyderabad. In this critical on-site role, you will be responsible for driving the development and implementation of innovative AI and machine learning solutions to address complex business challenges. You will lead a team of talented data scientists, fostering a collaborative and high-performing environment, and will work closely with stakeholders across the organization to translate business needs into impactful data science : - Lead and manage a team of data scientists, including hiring, mentoring, performance management, and career development. - Define the strategic direction for data science initiatives, aligning with the company's overall business objectives. - Drive the end-to-end lifecycle of data science projects, from problem definition and data exploration to model development, deployment, and monitoring. - Oversee the design, development, and evaluation of machine learning models, statistical analyses, and other data-driven solutions. - Ensure the quality, accuracy, and scalability of data science deliverables. - Collaborate closely with engineering, product, and business teams to integrate data science solutions into products and processes. - Communicate complex data insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. - Identify and evaluate new data sources and technologies to enhance our data science capabilities. - Promote and implement best practices in data science, machine learning, and AI. - Foster a culture of innovation, experimentation, and continuous learning within the data science team. - Manage project timelines, resources, and budgets effectively. - Stay up-to-date with the latest advancements in data science, machine learning, and AI. Skills Required : Must-Have Skills : - Proven experience (typically 8 years) in Data Science with a significant portion in a leadership or management role. - Strong foundation in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques. - Expertise in programming languages commonly used in data science (e.g., Python, R). - Proficiency in working with large datasets and data processing frameworks (e.g., Spark, Hadoop, Pandas, NumPy). - Experience with cloud computing platforms and their data science services (e.g., AWS, Azure, GCP). - Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. - Strong project management and organizational skills. - Proven ability to lead and mentor a team of data scientists. - Experience in translating business problems into data science solutions. - Strong understanding of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). - Experience with SQL and NoSQL databases. Should-Have Skills : - Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. - Experience with specific AI/ML domains relevant to Blend's services (e.g., Natural Language Processing (NLP), Computer Vision, Time Series Analysis, Recommendation Systems). - Experience with deploying and monitoring machine learning models in production environments (MLOps). - Familiarity with ethical considerations in AI and data science. - Experience with A/B testing and experimental design. - Contributions to the data science community (e.g., publications, open-source projects) (ref:hirist.tech)

Location: telangana, IN

Posted Date: 5/9/2025