PUNE · FULLTIME
Data Scientist
Brillio
Pune · onsite · Posted 21d ago
Sourced from
Undisclosed6–11 yrsfulltimePune
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Section · 01
About this role
Data Scientist
Job requirements
- Design and implement robust statistical models using advanced hypothesis testing, regression, and forecasting techniques to deliver actionable business insights
- Develop and optimize machine learning algorithms for classification, prediction, and probabilistic graph models utilizing Python, PySpark, and R
- Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to support data-driven decision-making
- Build, train, and deploy scalable models using ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet
- Apply advanced time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to analyze trends and predict outcomes
- Streamline model deployment and lifecycle management in production environments using KubeFlow and BentoML
- Implement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity
- Present complex data findings to stakeholders, translating insights into actionable recommendations that drive business outcomes
- Advanced application of hypothesis testing methodologies, including T-Test and Z-Test
- Expert-level regression analysis (linear and logistic) for predictive modeling
- Proficient programming in Python and PySpark for data manipulation and model development
- Extensive experience with statistical analysis using SAS and SPSS
- Hands-on expertise in probabilistic graph models for complex data relationships
- Mastery of time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)
- Implementation of classification algorithms such as decision trees and support vector machines (SVM)
- Deep familiarity with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
- Calculation and application of distance metrics (Hamming, Euclidean, Manhattan)
- Skilled in R and R Studio for statistical analysis and visualization
- Practical experience with Great Expectations and Evidently AI for advanced data validation
- Proficiency in cloud-based model deployment tools such as KubeFlow and BentoML
- Background in large-scale data processing and distributed computing environments
- Expertise in feature engineering and model interpretability techniques
- Familiarity with cloud-based data science platforms such as AWS SageMaker, Azure ML, or Google Cloud AI Platform
- Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
- Certification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate
Experience Range: With at least 4 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 6 years in similar roles Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualityspssSASPythonComputer ScienceMicrosoftData ProcessingMachine LearningForecastingRecruitment
Section · Company
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
Brillio offers comprehensive digital transformation services, focusing on customer experience, AI, and product engineering to drive business innovation.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
1,318 reviews
3.4/ 5
Culture
3.2
Career growth
2.8
Work-life
3.4
Employees rate it well for
Work Life Balance203Senior Management169Salary115Work Culture114Learning109
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