Senior Data Scientist - R01547300

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior Data Scientist

Primary Skills

• Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Job requirements

• Role: Data Scientist Lead
• Location: Pleasanton, CA, (Hybrid 3 days)
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• Job Description:
• Primary Skills Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test Key Responsibilities:
• • Develop and implement time series forecasting models to predict future trends, demand, and performance metrics.
• • Leverage statistical methods, machine learning, and deep learning techniques for accurate forecasting.
• • Work with large datasets from multiple sources and clean, process, and transform data for modelling purposes.
• • Analyze historical data patterns and trends to identify key drivers of future outcomes.
• • Perform data validation, anomaly detection, and ensure data integrity.
• • Collaborate with business and technical teams to understand forecasting needs and ensure models align with business objectives.
• • Communicate findings, insights, and predictions to both technical and non-technical stakeholders. • Continuously optimize and improve forecasting models by experimenting with new algorithms, tools, and techniques.
• • Use forecasting models to drive business decisions related to supply chain, demand planning, inventory, and more.
• • Document processes, models, and code to ensure scalability and reproducibility.
• Key Requirements:
• • Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• • Experience: 5-6 years of experience in data science with a focus on time series forecasting.
• • Proficiency in Python or R for data analysis and modeling.
• • Strong knowledge of time series forecasting techniques such as ARIMA, SARIMA, ETS, Prophet, or LSTM.
• • Experience with machine learning algorithms and statistical analysis.
• • Familiarity with tools like SQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• • Experience working with large datasets and data pipelines in a cloud-based environment (AWS, Azure, or GCP).
• • Strong problem-solving skills and the ability to interpret complex data.
• • Excellent communication and presentation skills to translate complex data findings into actionable insights for business teams.
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• ·       Why should you apply for this role?
• ·       (Practice Pitch)
• ·       As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The Advisory and Value Assurance (AVA) team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.
• ·       Know more about
• ·       PPE: https://www.brillio.com/platform-and-product-engineering/
• ·       DAE: https://www.brillio.com/services-data-analytics/
• ·       CES: https://www.brillio.com/services-customer-experience-services/
• ·       DI: https://www.brillio.com/services-digital-infrastructure/
• ·       Know what it’s like to work and grow at Brillio:https://www.brillio.com/join-us/
• ·       Equal Employment Opportunity Declaration
• ·       Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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