Data Scientist

**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: 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**:
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