Job Description

### Job Information


Industry


Technology Work Experience


5+ years City


Bangalore South State/Province


Karnataka Country


India Zip/Postal Code


560102

### About us


Lifesight is a fast growing enterprise SaaS company focused on helping brands, publishers, agencies and platforms leverage data to build customer intelligence, experiences and relationships. We have a team of 65 across offices in the US, Singapore, India, Australia and UAE with over 300 customers. With an unprecedented amount of data being generated by customers today, we make it easy for businesses to understand, target and measure their customers by leveraging their customer data with our industry leading identity solution. Our platform collects, unifies, enriches and activates data for marketing and analytics use cases so users can focus on executing their strategy and delivering their products. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth




###


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. Position Overview


This role will be a part of the Foundations Data Science / Machine Learning team at Lifesight, which builds analytics products that utilize data science, machine learning, and cutting-edge CV/NLP deep learning based models to provide insights for the measurements and attribution suite of products.### Requirements


You are a great fit if you have:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent practical experience
• Proven 5+ years of experience as a Data Scientist or similar role, with a strong track record of successfully delivering data-driven insights and solutions.
• Solid understanding of statistical analysis, predictive modeling, and machine learning algorithms.
• Proficiency in programming languages such as Python, R and SQL, with experience in data manipulation, statistical analysis, and machine learning libraries.
• Modeling skills - Use adequate modeling techniques to produce relevant models.
• Evaluation skills - Assess quality and robustness of models to meet business objectives.
• Identify approaches to improve model accuracy and effectiveness of analytics
• Define output of use cases for end user consumption to perform optimization analytics

### Benefits

What is 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's 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 grow with 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


7. Above all- a "fun" working environment. Why Join us?

• Be part of building a Zero to One SaaS product
• Discover amazing career opportunities being the initial core team member driving tech strategy of Lifesight.
• We have a growth plan for everyone
• Rise to rewarding challenges, enjoy attractive incentives, competitive compensation and more ...
• Develop your skills- you will enabled with Aspire@Lifesight program to help you with limitless resources for your learning