Lead Data Scientist

Job Title: Lead Data Scientist

Required Experience: 5-6 years

Location: Remote (WFO in Pune, as needed by project)

Job Description:

As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organisation's AI and analytical capabilities. You will lead a team of Data Scientists, AI Engineers and Data Analysts, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen.

Responsibilities:

Team Leadership:

Lead, inspire, and mentor the AI and Data Science team within Aventior, fostering a collaborative and innovative work environment.

Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals.

Conduct regular performance assessments and contribute to professional development plans.

Strategy and Planning:

Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals.

Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies.

Stay abreast of industry trends, emerging technologies, and best practices in data science.

Advanced Analytics:

Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems.

Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities.

Collaborate with data engineers to ensure the scalability and efficiency of deployed models.

Cross-functional Collaboration:

Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes.

Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner.

Data Governance and Quality:

Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis.

Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle.

Project Management:

Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met.

Provide regular project updates to stakeholders and manage expectations effectively.

Technical Expertise:

Architect and provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM, AgenticAI pipelines and Multi-modal AI Algorithms.

Lead the development of deep learning technologies like Computer Vision for Image Processing, OCR/IDP, Object Detection and Tracking, Segmentation, Image Generation, Convolutional Neural Networks, Capsule Networks, etc.

Lead the development of solutions driven by technologies like Natural Language Processing (NLP) for Text Processing, Information Extraction, Document Understanding, Text Classification, Named Entity Recognition, Question Answering, Large Language Models (LLMs), Transformer Architectures, Sequence-to-Sequence Models, Conversational AI systems, etc.

Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection;

Provide oversight for core deep learning algorithms like Neural Architecture Search for optimisation and Graph Neural Networks for molecular structures.

Provide strong technical and scientific leadership with core statistics for SPCs and QC, data analytics using R and build RShiny apps.

Qualifications:

Minimum 5+ years of total experience, including minimum 1+ years in leading a team of AI and Data Scientists, with a proven track record of successful project implementations.

Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.)

Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is desired. 2+ years of experience is desirable.

Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization.

Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above.

Must have hands-on experience with Deep Learning technologies for Natural Language Processing, Computer Vision, as well as core Neural Network applications like optimization.

Experience in developing ML, AI, and Data Science solutions and putting solutions in production

Knowledge of principles of Data Engineering, like Data Modelling, Data Pipelines and Data Governance using AWS services such as SageMaker, S3, Glue, and/or Redshift are desirable.

Excellent leadership, communication, and interpersonal skills.

Experience with big data technologies and cloud platforms is a plus.

Company Overview:

Aventior is a leading provider of innovative technology solutions for businesses across a wide range of industries. At Aventior, we leverage cutting-edge technologies like AI, ML Ops, DevOps, and many more to help our clients solve complex business problems and drive growth.

We also provide a full range of data development and management services, including Cloud Data Architecture, Universal Data Models, Data Transformation & and ETL, Data Lakes, User Management, Analytics and visualization, and automated data capture (for scanned documents and unstructured/semi-structured data sources). Our team of experienced professionals combines deep industry knowledge with expertise in the latest technologies to deliver customized solutions that meet the unique needs of each of our clients. Whether you are looking to streamline your operations, enhance your customer experience, or improve your decision-making process, Aventior has the skills and resources to help you achieve your goals.

We bring a well-rounded, cross-industry, and multi-client perspective to our client engagements. Our strategy is grounded in design, implementation, innovation, migration, and support. We have a global delivery model, a multi-country presence, and a team well-equipped with professionals and experts in the field.