What will you do:

• Lead the development and implementation of advanced analytics projects to address business challenges and opportunities.
• Develop and deploy predictive models by doing research work for the right model, data preparation involving various databases, building models, fine-tuning for accuracy, and integrating with business applications efficiently to optimize business processes and improve customer experience.
• Design and build machine learning models to extract insights from large datasets and improve decision-making processes.
• Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights.
• Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders.
• Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies.
• Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results.
• Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely.
• Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team.

What makes you a great fit:

• Master’s or PhD in CSE/  Mathematics/Statistics
• Minimum of 5 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions
• Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, sci-kit-learn)
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
• Experience with big data technologies with an in-depth understanding of SQL.
• Expert in creating data models, data structures, and algorithms.
• Excellent problem-solving skills and the ability to work with large, complex datasets.
• Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.
• Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.

About us:

Value Innovation Labs is a Technology Firm focussing on:

Connected Machines

Connected People

Connected Thinking.

We do Technology & Digital Transformation with a Human free Automation approach. The methodology includes Concept, Design, Develop, Artificial Intelligence & Digital marketing for iterative growth.

Products: SAAS Based HR technology Platform for B2B & B2C Markets

Smart City product platform

Growth Hacking Automation Tools

Exhibition Automation