Senior Data Scientist
Found in: Talent IN C2 - 3 weeks ago
Important Information
Experience: 6 to 9 years
Job Location: Bangalore/Hyderabad/Pune
Position Type: Full time.
Work Mode- Hybrid
Role: Senior Data Scientist
Job Summary:
Be the Architect of Personalized Experiences at McAfee: Senior Data Scientist (Pricing & Recommendations)
Are you passionate about harnessing the power of data to drive impactful business decisions? McAfee is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.
This is a remote position in India. Due to the collaborative nature of this role, we require someone available for meetings and discussions during overlapping Pacific Standard Time (PST) hours.
About The Role
Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations. Develop, implement, and deploy machine learning models that leverage our unique combination of user behaviour and subscription data to improve consumer value from our products. Engineer and maintain large-scale consumer behavioural feature stores while ensuring scalability and performance. Deliver intelligent solutions to all our touch points consumers, including marketing, product, and customer service. Lead the analysis and exploration of large-scale datasets to uncover hidden patterns and actionable insights for business growth. Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment. Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact. Create algorithms for optimizing consumer journeys and increasing conversion and monetization. Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness. Communicate technical findings and recommendations in a clear and concise manner to both technical and non-technical audiences. Stay at the forefront of the ever-evolving ML landscape by actively learning and exploring new techniques and methodologies, including LLMsAbout You
You will have 6+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence. M.S. or Ph.D. in Machine Learning, Data Science, Computer Science or related degree; or equivalent work experience. Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc. Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc. Strong understanding of statistical analysis and data visualization techniques. Model Explainability and Interpretation research skillsets needed for understanding model drivers in complex price and consumer behavioral models Excellent communication and collaboration skills to effectively engage with diverse stakeholders. A passion for data-driven decision-making and a desire to create tangible business impact. Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).Preferences:
Experience in building industry-standard recommender systems and pricing models . Expertise in MLOps, ML Engineering and Solution Design Be the Architect of Personalized Experiences at McAfee: Senior Data Scientist (Pricing & Recommendations)
Are you passionate about harnessing the power of data to drive impactful business decisions? McAfee is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.
This is a remote position in India. Due to the collaborative nature of this role, we require someone available for meetings and discussions during overlapping Pacific Standard Time (PST) hours. We will only consider candidates currently in India and are not offering relocation assistance.
Responsibilities
Develop the back-end software, maintain and update the existing code; Follow the Scrum workflow and complete tasks from the team backlog; Assist with creation and development of feature requirements; Report issues with the code and improve upon them.About Encora
Encora is a leading provider of software and digital engineering solutions, boasting 48 global offices and a team of over 9,000 Encorians. We're present in tech-rich regions, equipped to deliver exceptional services in product engineering, the cloud, data modernization, digital experience, and more.
Our hiring philosophy is rooted in skill and talent, fostering a workplace where diversity and inclusivity translate into innovative solutions for every client.
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