8.0 - 12.0 years

0 Lacs

indore, madhya pradesh

On-site

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

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Manager, Data Science MSD

2.0 - 6.0 years

0 Lacs

pune, maharashtra

On-site

As a Product Manager, your main responsibility is to drive product design and ensure the consistent execution of product lifecycle processes from concept to launch, focusing on user-centric solutions. You will define and monitor Product Success metrics at various development phases, facilitating cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning. It is crucial to communicate progress, challenges, learnings, and success stories effectively to key stakeholders. Your role also involves leading the creation of a comprehensive playbook and training material to standardize and share SOPs with product development and analytics teams. Gathering user feedback to refine product features, evaluating technical feasibility of new enhancements, and ensuring a smooth handoff of product requirements to development teams are vital aspects of your job. Additionally, you will lead the creation of benchmark techniques for multiple product development strategies and identify cutting-edge trends to enhance product positioning. Qualifications: Education & Work Experience: - Bachelors degree in Engineering or related fields with a minimum of 6+ years of relevant experience - Masters degree in relevant fields with 4+ years of work experience - 2+ years of Product management or Software development experience Required Skillset: - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, Azure) - Experience with APIs, microservices, and DevOps practices - Expertise in Software Development, Engineering, and Analytics Delivery - Proficiency in product architecture design & implementation - Hands-on experience with Agile methodologies, product roadmaps, and backlog management - Strong problem-solving, critical thinking, and business analysis skills - Ability to effectively communicate proposals to key stakeholders - Understanding of Pharma commercial landscape and analytics tools like Tableau, PowerBI, Dataiku, etc. Desired Skills (but not mandatory): - Experience with data science principles, machine learning algorithms, A/B testing, etc. - Experience in healthcare, financial, or enterprise SaaS products - Knowledge of Marketing Mix Modeling and optimization concepts Your role is critical in driving product innovation and ensuring successful product launches in alignment with business needs. Your technical expertise, analytical skills, and stakeholder management abilities will be essential in delivering user-centric solutions and driving product success throughout its lifecycle.,

Posted 2 days ago

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