Bengaluru Karnataka Data scientist 1 year experience Jobs – 273 Open Jobs Today

Data Scientist
The Nielsen Company —Bengaluru, Karnataka
- Full-time
- Computer science
- Master's degree
- SQL
Quick apply
Data Science - Data Scientist
Paytm —Bengaluru, Karnataka
- Computer science
- Computer Science
- B.Sc
- Health insurance
Associate Data Scientist
Clario —Bengaluru, Karnataka
- Full-time
- Computer Science
- SQL
- Analysis skills
- Health insurance
Software Engineer - Python
KJBN Labs —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Data Scientist
Vital Healthcare Services —Whitefield, Bengaluru, Karnataka
- ₹5,00,000 - ₹10,00,000 a year
- Full-time
- Master's degree
- Databases
- AWS
- Paid time off
Quick apply
6d
Data Engineer , WWGS GRIT
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- SQL
- AWS
- Machine learning
10d
Data Scientist 1, Knowledge Management
eBay Inc. —Bengaluru, Karnataka
- Full-time
- Master's degree
- Administrative experience
- SQL
4d
Computer Vision
Infosys Limited —Bengaluru, Karnataka
- Computer Science
- Bachelor's degree
- Computer skills
12d
Data Scientist
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- Oracle
- Doctoral degree
- Master's degree
Associate Software Engineer
Halliburton —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
Computer Scientist
Adobe —Bengaluru, Karnataka
- Full-time
- Computer science
- Computer Science
- Master's degree
Computer Scientist I
Adobe —Bengaluru, Karnataka
- Full-time
- Master's degree
- C++
- Bachelor's degree
11d
Computer Scientist ( Python )
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
MTS 1, Full Stack Software Engineer
eBay Inc. —Bengaluru, Karnataka
- Full-time
- Computer Science
- Java
- Master's degree
Applied Scientist I
Jupiter —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Analysis skills
PHP Developer
Qualibar —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- AWS
Data Scientist
Tata Consultancy Services —Bengaluru, Karnataka
- Azure
- Java
- SQL
11d
Data Scientist 2
Bread Financial —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Azure
- Doctoral degree
AI Software Engineer
Aptus Data LAbs —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Java
Data Engineer I, Data Engineer RBS
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Computer Science
- SQL
- AWS

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Data Scientist

The Nielsen Company -
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Social listening
Computer science
R
Master's degree
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Distributed systems
APIs
Data science
Python

Full job description

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Role Overview

As a Hybrid Data Scientist you will sit at the intersection of high-scale data pipelining and advanced statistical methodology. You will be responsible for the end-to-end lifecycle of Incremental Reach and Audience Measurement products—from architecting Python-based data pipelines to implementing sophisticated Bayesian and Machine Learning models that quantify the lift of Digital media over a Linear TV baseline.

Key Responsibilities

1. Advanced Statistical Modeling (The "Science" Side)

Incremental Reach Frameworks: * Small-N Datasets: Implement Bayesian Model Averaging (BMA) to cycle through regression combinations, providing robust coefficients and credible intervals when study data is limited.
- Large-Scale Prediction: Deploy Gradient Boosted Regression Trees (GBM) to identify non-linear patterns and rank the impact of "Reach Drivers" (Media Weight, On-Target %, Frequency).
Audience Deduplication: Use Maximum Entropy (MaxEnt) models to estimate unique audience reach across fragmented platforms by reconciling census and panel data.
Additional Frameworks:
- Mixed-Effect Models: Use Hierarchical/Multilevel modeling to account for nested data (e.g., campaigns nested within specific industry verticals).
- Causal Lift: Apply Synthetic Control Methods to measure incremental shifts in behavior for campaigns with fixed timeframes where a clean control group is unavailable.

2. Data Engineering & Pipeline Architecture (The "Engineering" Side)

Python-Centric ETL: Architect and maintain robust data pipelines using Python (Pandas, PySpark) to ingest, clean, and harmonize data from Linear TV logs and Digital ad servers.
Feature Engineering: Automate the extraction of Base Drivers (GRP, Reach Efficiency, Seasonality) and Custom Drivers (Share of Voice, Flighting) into a supervised learning-ready schema.
Productionization: Wrap statistical models into production-grade APIs or scheduled containers (Docker/Airflow) to ensure repeatable and scalable measurement.
Cloud Operations: Manage large-scale datasets within Cloud Data Warehouses (Snowflake, AWS, or GCP), optimizing SQL queries for high-performance analytics.

3. Experimental Design & Methodology

Control/Test Logistics: Design scientifically valid Control and Test groups, ensuring proper randomization or using Propensity Score Matching to mitigate selection bias.
Variable Importance: Provide stakeholders with Posterior Inclusion Probabilities to identify which media levers (Duration, Weight, etc.) most consistently drive incremental reach.
Cross-Media Calibration: Reconcile Linear TV's "One-to-Many" metrics with Digital's "One-to-One" tracking to provide a unified view of the consumer.

Qualifications

Experience: 3-6 years of statistical model development and Mastery of Python (specifically for data manipulation and ML) and advanced SQL. Experience with PySpark or Dask for distributed computing is a plus.
Statistical Mastery: Proven experience with GBM (XGBoost/LightGBM) and Bayesian Frameworks (e.g., PyMC, Stan, or R-BMA) among other Data Science models.
Media Knowledge: Understanding of Linear TV vs. Digital dynamics, including Reach/Frequency, GRPs, and Deduplication logic.
Education: Bachelor’s or Master’s in a quantitative field (Statistics, Computer Science, Economics) or equivalent professional experience.

Additional Information

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

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data scientist 1 year experience jobs in bengaluru karnataka

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