Data Scientist - Machine Learning

Data Scientist

Experience: 4+ years
Salary : Competitive
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 6:00PM IST
Opportunity Type: Onsite (Bengaluru)
Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
machine learning, Python, R, Statistical Knowledge, Causal Inference, Reinforcement Learning, A/B testing, Machine Learning (Supervised & Unsupervised)
Good to have skills :
Regression Analysis, Feature Engineering, Time Series, Bayesian Statistics, Dimensionality Reduction, Deep Learning, LLMs

Our Hiring Partner is Looking for:
Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview 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. Were 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 datas 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 developments
Responsibilities
● 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
Specialized Knowledge
● Understanding of causal inference
● Understanding of adstock, decay, and saturation concepts
● Cloud computing platforms (e.g., AWS, GCP)
Preferred skills and qualifications
● Bachelors degree (or equivalent) in statistics, applied mathematics, or related discipline
● 4-6 years of experience as a Data Scientist

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
Lifesight Is empowering decisions with Advanced Data Intelligence. 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.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!