Senior Data Specialist - R01571898

Brillio 2; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Brillio 2 seeks a Senior Data Specialist to design and implement advanced statistical models and ML solutions in a data-driven environment. You will lead analyses, build predictive models, and ensure data quality while collaborating with cross-functional teams.

Ideal candidates have 5–8 years of hands-on data science experience, proficiency in Python/PySpark, and familiarity with SAS/SPSS, Great Expectations, and time series forecasting. Immediate joiner preferred.

Qualifications

• Must have 5+ years hands-on experience in advanced data science, including statistical analysis and ML, up to 8 years in related roles.
• Proficiency in Python and PySpark for data analysis.
• Experience with SAS or SPSS for statistical computing.
• Knowledge of probabilistic graph models and ML frameworks.
• Familiarity with Great Expectations for data validation.

Responsibilities

• Design and implement advanced statistical models to drive business outcomes.
• Conduct rigorous statistical analysis using t-tests, z-tests, and probabilistic models to extract insights from large datasets.
• Build, train, and deploy predictive models for forecasting and classification tasks using ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Perform data cleaning, transformation, and exploratory analysis using Python, PySpark, R, and SAS/SPSS.
• Apply time series forecasting methods (exponential smoothing, ARIMA, ARIMAX) to predict trends.
• Develop and maintain data validation and monitoring pipelines to ensure data quality and model performance.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions and communicate findings.
• Automate ML workflows to streamline deployment and enhance scalability.

Skills

Hypothesis testing

Regression analysis

Python

PySpark

SAS

SPSS

Probabilistic graph models

Great Expectations

Time series forecasting

Classification algorithms

TensorFlow

PyTorch

Sci-Kit Learn

R

Education

Bachelor's degree in a quantitative field

Data Science Certification

Python or R certification (PCEP/PCAP/R)

Tools

SAS

SPSS

Job description

Senior Data Specialist

Experience Range: With at least 5 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 8 years in related roles Key Responsibilities:

• Design and implement advanced statistical models, including hypothesis testing, regression analysis, and classification algorithms, to drive business outcomes
• Conduct rigorous statistical analysis using t-tests, z-tests, and probabilistic graph models to extract actionable insights from large datasets
• Build, train, and deploy predictive models for forecasting and classification tasks using machine learning frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn
• Perform data cleaning, transformation, and exploratory analysis utilizing Python, PySpark, R, and statistical tools like SAS or SPSS
• Apply time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to predict trends and inform strategic decisions
• Develop and maintain data validation and monitoring pipelines to ensure data quality and model performance
• Collaborate with cross-functional teams to translate business requirements into analytical solutions and communicate findings effectively
• Automate machine learning workflows to streamline deployment and enhance scalability

Required Skills

• Expertise in hypothesis testing (t-test, z-test)
• Advanced regression analysis (linear and logistic)
• Programming proficiency in Python and PySpark
• Hands-on experience with SAS or SPSS for statistical computing
• Knowledge of probabilistic graph models
• Experience with data validation frameworks such as Great Expectations
• Time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)
• Familiarity with classification algorithms (decision trees, SVM)
• Experience with machine learning frameworks (TensorFlow, PyTorch, Sci-Kit Learn)
• Proficiency in R for statistical modeling

Preferred Skills

• Experience with distance metrics (Hamming, Euclidean, Manhattan)
• Expertise in model monitoring tools beyond Great Expectations, such as Evidently AI
• Experience in deploying models using BentoML
• Familiarity with orchestration tools for ML workflows, such as KubeFlow
• Background in designing scalable machine learning pipelines

Desired Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
• Certification in Data Science, Machine Learning, or Advanced Analytics (e.g., Microsoft Certified: Azure Data Scientist Associate, SAS Certified Data Scientist)
• Certification in Python or R programming (e.g., PCEP, PCAP, R Programming Certification)

Additional Information

Immediate joiner required