Senior Data Specialist

Job requirements

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 Outstanding 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

📌 Senior Data Specialist898 (Pune)
🏢 Brillio
📍 Pune