Senior Data Scientist
1 week ago
Job Role:
Data Scientist
Company:
Varaisys Private Limited
Location:
Noida (On-site)
Experience:
4+ Years
About the Role:
We are looking for an experienced Data Scientist to work on
enterprise-scale datasets
and develop
advanced machine learning and deep learning models
. This role is hands-on, technically challenging, and ideal for someone ready to take ownership of complex analytics projects
Key Responsibilities:
- Develop, train, and deploy
machine learning and deep learning models
including RNNs, LSTMs, GANs, reinforcement learning, and other advanced algorithms. - Analyze
high-volume, complex datasets
to identify patterns, trends, anomalies, and actionable insights. - Apply
statistical modeling techniques
such as regression, Bayesian analysis, clustering, and predictive modeling to solve business problems. - Collaborate with cross-functional teams to implement
enterprise-grade data solutions
that support strategic decision-making. - Conduct
model evaluation, validation, and optimization
, including hyperparameter tuning and performance monitoring. - Visualize and present findings effectively to
non-technical and technical stakeholders
using dashboards and reports. - Stay updated with emerging trends in
machine learning, deep learning, AI, and statistical modeling
, and recommend innovative solutions for business challenges. - Ensure that models and analytics practices follow
ethical AI principles and best practices
.
Required Qualifications:
- Bachelor's or Master's degree in
Statistics, Applied Mathematics, Computer Science, or a related quantitative field
. - 4–8 years of experience in
data science, predictive analytics, or applied statistics
. - Strong proficiency in
Python or R
, and experience with ML/DL libraries such as
Scikit-Learn, TensorFlow, PyTorch, Statsmodels, or Prophet
. - Expertise in
statistical modeling, regression, Bayesian methods, predictive analytics, and deep learning techniques
. - Hands-on experience working with
large-scale enterprise datasets
. - Familiarity with
big data platforms and cloud-based analytics workflows
is preferred. - Strong analytical thinking, problem-solving skills, and the ability to
communicate complex concepts clearly
to stakeholders.
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