Data Scientist
Brillio · Bengaluru · onsite · Posted 43d ago
Undisclosed4–6 yrsfulltimeSourced from
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About this role
Data Scientist
Job requirements
- Develop and implement Next Best Offer models and advanced data science solutions to drive business objectives and enhance customer engagement
- Apply statistical techniques such as hypothesis testing, t-tests, z-tests, and regression methods to extract actionable insights and support data-driven decision-making
- Build, validate, and optimize machine learning models using Python, PySpark, and R to ensure high accuracy and reliability
- Leverage probabilistic graph models and classification algorithms, including decision trees and support vector machines, to address complex business challenges
- Optimize and automate machine learning pipelines for scalable deployment using KubeFlow and BentoML, improving operational efficiency
- Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to inform business strategies
- Monitor model performance using evaluation metrics and recommend data-driven improvements to maintain model effectiveness
- Collaborate with cross-functional teams to translate business requirements into impactful data science solutions
- Python
- PySpark
- SAS
- SPSS
- R
- Probabilistic graph models
- Regression methods (linear and logistic)
- Forecasting methods (exponential smoothing, ARIMA, ARIMAX)
- TensorFlow
- PyTorch
- Scikit-learn
- CNTK
- Keras
- MXNet
- Decision trees
- Support Vector Machines (SVM)
- Distance metrics (Hamming, Euclidean, Manhattan)
- KubeFlow
- BentoML
- Experience with Great Expectations and Evidently AI for model validation and monitoring
- Expertise in deploying machine learning models in cloud-based environments
- Knowledge of advanced ensemble methods and boosting algorithms
- Familiarity with A/B testing and experimental design
- Background in recommendation systems and personalization algorithms
- Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or a quantitative discipline relevant to data science
- Certification in Machine Learning or Data Science from a recognized institution such as Coursera, edX, or DataCamp
- Relevant certification in statistical analysis or analytics, such as SAS Certified Statistical Business Analyst
Experience Range: With 4 to 6 years of experience in advanced data science roles, including hands-on involvement in machine learning and statistical modeling projects 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.
Sourced from naukri
Skills
Customer EngagementkerasBusiness AnalystclassificationBusiness Requirementsdata scientistHypothesis TestingAnalyticsARIMAExperimental DesigndeploymentcloudAlgorithmsData ScienceArtificial IntelligenceForecasting
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
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