Senior Data Science Lead
Brillio · Bengaluru · onsite · Posted 35d ago
Undisclosed12–17 yrsfulltimeSourced from
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About this role
Senior Data Science Lead
Job requirements
- Lead the design, development, and implementation of advanced statistical models and machine learning solutions to address complex business challenges and deliver measurable impact
- Drive end-to-end data science project lifecycles, overseeing data exploration, hypothesis testing, feature engineering, model selection, and validation
- Apply regression, classification, and forecasting techniques such as ARIMA, ARIMAX, exponential smoothing, and decision trees to generate predictive analytics and actionable insights
- Collaborate with cross-functional teams to translate business objectives into actionable data science strategies and ensure alignment with organizational goals
- Build, evaluate, and deploy scalable machine learning models using Python, PySpark, R, TensorFlow, PyTorch, and Sci-Kit Learn
- Monitor data quality, bias detection, and model performance using Great Expectations and Evidently AI, ensuring robust analytics outcomes
- Mentor and guide junior data scientists, providing technical leadership, conducting code reviews, and promoting best practices in statistical analysis and machine learning
- Present findings and insights to stakeholders through clear visualizations and presentations, facilitating data-driven decision making
- Advanced proficiency in Python and PySpark for data processing and modeling
- Expertise in statistical analysis, including hypothesis testing, t-tests, and z-tests
- Strong knowledge of regression techniques (linear, logistic) and classification algorithms (decision trees, SVM)
- Hands-on experience with probabilistic graphical models for complex data relationships
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet
- Experience with forecasting methods including exponential smoothing, ARIMA, and ARIMAX
- Competence in data quality and monitoring tools such as Great Expectations and Evidently AI
- Working knowledge of SAS or SPSS for statistical analysis and computing
- Familiarity with R and R Studio for advanced analytics
- Understanding of distance metrics such as Hamming, Euclidean, and Manhattan
- Experience deploying machine learning models in production environments using KubeFlow or BentoML
- Expertise in developing scalable data pipelines for machine learning workflows
- Knowledge of advanced feature engineering and dimensionality reduction techniques such as PCA and t-SNE
- Background in model interpretability and explainable AI methodologies (e.g., SHAP, LIME)
- Exposure to real-time analytics and streaming data platforms such as Apache Kafka or Spark Streaming
- Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
- Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate (preferred)
- Formal training or certification in advanced statistical analysis or machine learning frameworks
Experience Range: With at least 8 years of experience in data science and advanced analytics, including recent leadership roles spanning up to 12 years 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 qualityApachespssAnalyticsSASPythonComputer ScienceMicrosoftMachine LearningRecruitment
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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