Urgent! Lead Data Scientist Job Opening In Bengaluru – Now Hiring Traya
About Us
We are a growing Direct-to-Consumer (D2C) company leveraging data-driven strategies to create
exceptional customer experiences and drive business growth.
Our analytics and machine learning
capabilities are fundamental to understanding customer behavior, optimizing operations, and delivering personalized experiences.
We're seeking a skilled Lead/Senior Data Scientist to lead our machine learning initiatives and translate business challenges into actionable insights.
Role Overview
As a Senior Data Scientist, you will develop and implement machine learning models that directly impact key business metrics and customer experience.
You'll work on high-impact projects including lead scoring, churn prediction, and customer segmentation while collaborating closely with data engineering and analytics teams.
This role requires strong expertise in classical machine learning techniques, with an emphasis on building production-ready models that deliver measurable business value.
Key Responsibilities
● Design, develop, and maintain machine learning models focused on lead scoring, churn prediction, customer segmentation, and other business-critical applications
● Build end-to-end ML pipelines, from data extraction and feature engineering to model deployment and monitoring
● Work with data engineering teams to ensure proper data infrastructure for ML workflows
● Collaborate with analytics teams to translate business problems into data science solutions
● Implement A/B testing methodologies to validate model effectiveness
● Monitor model performance in production and implement strategies for model maintenance
and improvement
● Apply statistical analysis to extract meaningful patterns from large datasets
● Develop robust evaluation frameworks to measure model performance and business impact
● Create clear documentation for models, methodologies, and results
● Present findings and recommendations to technical and non-technical stakeholders
● Mentor junior data scientists and contribute to data science best practices
● Stay current with developments in machine learning and data science methodologies
Qualifications
Required
● Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field
● 5+ years of experience in data science or machine learning roles
● Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.)
● Expert knowledge of classical machine learning algorithms and techniques
● Experience building models for business applications such as lead scoring, churn prediction, and
customer segmentation
● Hands-on experience with the full ML lifecycle, from data preparation to model deployment
● Experience with SQL and working with large datasets
● Understanding of statistical concepts and their practical applications
● Experience deploying models to production and implementing monitoring solutions
● Strong problem-solving skills and business acumen
● Excellent communication skills with the ability to explain complex concepts to diverse audiences
Preferred
● Experience in D2C, e-commerce, or retail industries
● Familiarity with GenAI and Deep Learning technologies
● Knowledge of MLOps practices and tools
● Experience with cloud platforms (AWS, GCP, Azure)
● Familiarity with data visualization tools (Tableau, PowerBI, etc.)
● Experience with distributed computing frameworks (Spark)
● Understanding of experiment design and causal inference
Technical Skills
● Programming Languages: Python (essential), R (beneficial)
● ML Libraries & Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, SciPy
● MLOps Tools: MLflow, Kubeflow, or similar (beneficial)
● Databases & Query Languages: SQL, experience with data warehouses
● Cloud Platforms: Familiarity with AWS or GCP services
● Version Control: Git
● Data Visualization: Matplotlib, Seaborn, Plotly
● Collaboration Tools: Jupyter, modern data science workflows
What We Offer
● Competitive salary and comprehensive benefits package
● Opportunity to work on impactful, business-critical projects
● Modern office in Mumbai with excellent facilities
● Collaborative, data-driven culture
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 318927 jobs in India and 27925 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Traya is currently hiring and seeking a Lead Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Scientist Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Traya adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Scientist Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Scientist interview at Traya, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Traya's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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