Data Scientist

4 days ago

Bengaluru Karnataka, India GroupM Nexus Full time

**Position**: Data Scientist
**Experience Required**: Minimum 8-10 years
**Location**: Mumbai / Gurgaon / Bangalore
**Employment Type**: Full-Time

**Role Overview**

**Key Responsibilities**
- Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization.
- Design and implement analytical frameworks to solve business challenges.
- Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques.
- Continuously improve model performance and scalability.
- Collaborate with data engineering teams to ensure the availability and quality of data pipelines.
- Implement data preprocessing, transformation, and feature engineering processes.
- Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals.
- Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders.
- Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization.
- Stay updated on emerging technologies and incorporate best practices in data science workflows.
- Define and track key metrics to measure the success of models and business impact.
- Conduct A/B testing and experiments to validate hypotheses and model effectiveness.

**Qualifications**

**Education**:

- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A PhD is a plus.

**Experience**:

- At least 8-10 years of hands-on experience in data science, machine learning, or a related role.
- Proven experience in deploying models in production environments.

**Technical Skills**:

- Proficiency in programming languages such as Python, R, or Java.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
- Expertise in working with SQL and NoSQL databases.

**Preferred Qualifications**:

- Experience in natural language processing (NLP), computer vision, or deep learning.
- Knowledge of CI/CD pipelines and MLOps best practices.
- Certification in data science, machine learning, or cloud computing (e.g., AWS Certified Data Analytics, Microsoft Azure Data Scientist Associate).

**Soft Skills**:

- Strong problem-solving and critical-thinking abilities.
- Excellent communication and storytelling skills to convey insights effectively.
- Ability to work collaboratively in a fast-paced, cross-functional environment.

**More about GroupM Nexus**
- GroupM Nexus is the industry’s largest community of performance marketing experts designed to drive performance and innovation at scale for GroupM’s agencies and clients. With the most platform accreditations in the industry combined with proprietary technology, media, and solutions, culture of continuous innovation and scaled partnerships, GroupM Nexus consistently sets new benchmarks for effectiveness and efficiency across all forms of media to drive growth for the world’s leading advertisers._

**About GroupM**
- #LI-Promoted_

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