Responsible for leading the development, delivery, and execution of multiple Artificial Intelligence and data science projects.
Lead team of junior data scientists and data analysts.
Develop scalable, robust, and large-scale predictive machine learning models to address various business problems by leveraging advanced statistical modelling, machine learning, data mining or deep learning techniques.
Research and develop state-of-the-art ML solutions to address the challenges in Data Science such as cold start, sparse and noisy data, transformers-BERT modelling.
Collaborate with product management and engineering groups to develop new products and features such as spark based featurestore, data preparation engine etc.
Develop AI applications for different industries such as healthcare, insurance, banking, retail for different use-cases such as credit scoring, risk scoring, image classification, text classification, model deployment etc.
Architect machine learning workflows and systems from data ingestion to model deployment.
Collaborate with pre-sales teams; support full lifecycle of a data science project engagement.
Including: technical qualification of the opportunities, scoping out POCs and success plans, performing and delivering POCs, technical enablement of the end customers, and quantifying the business value.
Communicate effectively internally and externally to diverse audience, including engineers, business people, and executives.
Act internally as the voice of the customer to the Product, Engineering, and Marketing teams; advocate data science practice in the region.
Craft statement of work, responses for proposals/information, and all written communication required to engage customers.
Problem solve and assess technical issues, determine solutions, and work with internal engineering and customer teams to resolve them.
Create, design, and deliver compelling presentations on complex & technical concepts.
Work side-by-side with our sales and success teams to help our customers achieve their joint success plans and quantify the business impact of it.
Identify opportunities to expand our relationship with customers - technical upselling and cross selling.
Advanced degree (preferable Master’s or PhD degree) in Data Science, Business Analytics, Computer Science or related field.
Strong industry experience in predictive analytics and/or statistical modelling. Successful tracking records in solving large scale data mining problems such as relevance, recommendation, anti-fraud and relevant financial problems.
Strong technical leadership combined with hands-on data mining and machine learning application experience, and passion to work with data scale and business complexity. Be able to identify, plan and lead to execute both quick win tactics and long term strategies against abusers on our platforms.
Strong ownership, communication and collaboration skills to end-to-end own one or more critical platform/community security business fronts that are highly adversarial, ever expanding, and by nature widely cross functional.
Solid in-depth knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Visualization skills using R, Python or other languages and frameworks.
Expertise in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Senior-level experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
Proven experience with performing customer-facing activities as part of a pre-sales team or professional services team.
Experience of working with data in Hadoop and /or Spark ecosystem.
Proven experience in understanding Business needs and formulating Data Science solutions to solve these issues. Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes.
Strong customer interaction, communication, writing and interpersonal skills. Excellent project management and organizational abilities.
Kaggle experience is a plus
Published Research Papers highly desired.