Lifesight Technologies - Data Scientist - Machine Learning

Role : 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 an understanding 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 :
• 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.
  
  

Required Skills And Qualifications

• 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.
• SQL for database querying.
• Understanding of causal inference.
• Understanding of adstock, decay, and saturation concepts.
• Cloud computing platforms (i.e., 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
  
  

(ref:hirist.tech)