
Senior Data Scientist
1 week ago
Job Title:
Senior Data Scientist
Location:
Hyderabad, India
Job Type:
Full-time
Job Description
We are seeking a highly skilled
Senior Data Scientist
to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of
customer data ingestion, real-time data pipelines,
and
AI-driven marketing strategies.
You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.
This role blends
analytical rigor
with
innovative model building
and
maintenance,
ensuring both operational excellence and strategic customer growth.
Key Responsibilities
Model Development
- Design, build, and deploy machine learning models for
segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance
and other business use cases. - Contribute to building models for various use cases such as
Revenue Management System, Customer 360,
etc. - Apply
statistical analysis
and
data visualization
techniques to generate insights and communicate effectively to business stakeholders. - Translate model insights into
actionable marketing strategies
that enhance ROI and customer experience. - Collaborate with cross-functional teams including Martech, digital, and commercial teams to
operationalize models into platforms
and
workflows
. - Establish
monitoring, retraining, and governance processes
to ensure sustained model accuracy and business value.
Deep QA Model Validation
- Validate existing models applying
end-to-end QA checks
before sign-off. - Assess
data ingestion, schema integrity, feature engineering, and label quality
for business alignment. - Evaluate
model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration
. - Document all findings, anomalies, and improvement opportunities.
- Support development of
dashboards and reports
to track validation progress, outcomes, and risks. - Ensure every module is
accurate, reliable, and business-aligned
prior to deployment.
Required Qualifications
- Master's degree in data science, Statistics, Computer Science, or related field.
- 4 to 6 years
of experience in
data science, model validation,
and
applied machine learning
. - Proven expertise in
Python, SQL, and ML frameworks
(scikit-learn, TensorFlow, PyTorch). - Experience with
QA
and
drift monitoring frameworks
for ML models. - Familiarity with
big data platforms and cloud ecosystems
such as Databricks, Spark, Snowflake/AWS/Azure/GCP. - Strong communication skills to convey complex insights to both technical and business stakeholders.
- Experience leading junior data scientists.
- Detail-oriented with a structured approach to
QA, documentation, reporting, and dashboarding
.
Why Join Us?
- Work on modern data architecture at scale using cutting-edge Azure technologies.
- Collaborate with a dynamic and talented team of data professionals.
- Grow your leadership skills through hands-on project ownership and mentorship.
- Competitive compensation, flexible work options, and continuous learning culture.
About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.
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