Job
Description
Job Information Date Opened 06/11/2025 Job Type Full time Industry Technology Work Experience 4-5 years City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Job Description Job Description: Data Scientist ( 4-6 Years ) Location : Bangalore Company Overview Lifesight is a fast growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Our unified marketing measurements platform empowers modern marketers to make better decisions using Multi-Touch Attribution , Marketing Mix Modelling , Incrementality Testing , and Causal AI . Position Overview: At Lifesight, we rely on insightful data to power our systems and solutions. We’re seeking a data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. Objectives of this role Collaborate with product design and engineering teams to develop anunderstanding of needs. Research and devise innovative statistical models for data analysis and communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developments What you’ll do.. Execute analytical experiments to help solve problems across various domains and industries Analyse data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Requirements You are perfect for the role if you have… Statistical Knowledge Understanding of probability theory, distributions and statistical inference Regression analysis (linear, non-linear, multivariate) Time series analysis / forecasting Bayesian statistics Hypothesis testing Experimental design Understanding of overfitting, underfitting, and regularization techniques Machine Learning Supervised learning algorithms Unsupervised learning (clustering, dimensionality reduction) Feature engineering and selection Model evaluation and validation techniques Programming Skills Proficiency in Python or R What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products.3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment. Team Vibes & Real SQL for database querying Specialized Knowledge Understanding of causal inference Understanding of adstock, decay, and saturation concepts Cloud computing platforms (e.g., AWS, GCP) Preferred skills and qualifications Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline 4-6 years of experience as a Data Scientist Benefits What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment.
