Data Scientist
Brillio · Pune · onsite · Posted 26d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Data Scientist
Job requirements
- Design, develop, and deploy advanced statistical and machine learning models using Python, R, and specialized frameworks to address complex business challenges
- Conduct rigorous statistical analysis, including hypothesis testing, regression analysis, and probabilistic modeling, to extract actionable insights from large-scale data
- Implement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity
- Collaborate with cross-functional teams to define data-driven strategies, translate business requirements into analytical solutions, and present findings to stakeholders
- Develop, optimize, and maintain forecasting models using techniques such as exponential smoothing, ARIMA, and ARIMAX to support business planning
- Build, train, and evaluate classification and regression models using ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras, MXNet, CNTK)
- Deploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML
- Document methodologies and contribute to continuous improvement of analytics best practices
- Advanced proficiency in Python and PySpark for data analysis and model development
- Expertise in statistical analysis and computing using SAS or SPSS
- Hands-on experience with regression techniques including linear and logistic regression
- Strong knowledge of hypothesis testing, including T-Test and Z-Test methodologies
- Proficient in building and interpreting probabilistic graphical models
- Experience with classification algorithms such as Decision Trees and Support Vector Machines (SVM)
- Skilled in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX
- Familiarity with distance metrics such as Hamming, Euclidean, and Manhattan Distance
- Working knowledge of R and R Studio for statistical modeling
- Experience with data validation and monitoring tools such as Great Expectations and Evidently AI
- Experience deploying machine learning models using KubeFlow or BentoML
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, MXNet, or CNTK
- Background in cloud-based analytics platforms (eg, AWS SageMaker, Azure ML, Google AI Platform)
- Exposure to automated machine learning (AutoML) workflows
- Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
- Certification in Data Science or Machine Learning from a recognized provider (eg, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate)
Experience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. 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
data qualityAws Sagemakeramazon web servicesclassificationBusiness Requirementsdata scientistanalytics platformsazure mlAnalyticsARIMABusiness PlanningcloudAlgorithmsdata analysisMicrosoft AzureData ScienceArtificial Intelligence
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
Find them on