Brillio

Data Scientist - R01542454

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data ScienceIndustries

Data Scientist

Employment Type: Employee

Position Overview

This role focuses on developing and implementing advanced time series forecasting models to predict future trends, demand, and performance metrics. The Data Scientist will leverage statistical methods, machine learning, and deep learning techniques, working with large datasets to drive business decisions.

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, cleaning, processing, and transforming data for modeling.
  • 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.

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.
  • Technical Skills:
    • 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.
    • 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).
  • Soft Skills:
    • 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.

Specialization

  • Data Science Advanced: Data Specialist

Company Information

(Company information not provided in the original description)

Salary

(Salary information not provided in the original description)

Location Type

(Location Type information not provided in the original description)

Skills

Decision Trees
SVM
Hamming Distance
Euclidean Distance
Manhattan Distance
Exponential Smoothing
ARIMA
ARIMAX
Evidently AI
Hypothesis Testing
TensorFlow
PyTorch
Sci-Kit Learn
CNTK
Keras
MXNet
Probabilistic Graph Models
Python
PySpark
R
R Studio
Linear Regression
Logistic Regression
SAS
SPSS
Statistical analysis
KubeFlow
BentoML
T-Test
Z-Test
Time series forecasting
Machine learning
Deep learning
Data validation
Anomaly detection
Data integrity

Brillio

Technology consulting for digital transformation

About Brillio

Brillio helps businesses with their digital transformation by providing technology consulting services. The company focuses on creating customized digital solutions that utilize artificial intelligence and cloud technologies to meet the specific needs of each client. This includes improving operational efficiency and enhancing user experiences through real-time responses and better workflows. Brillio serves a variety of clients, including large Fortune 500 companies, with a strong emphasis on the healthcare sector. Unlike many competitors, Brillio's approach is centered on developing bespoke solutions that give clients a competitive advantage, aiming to help them evolve into 'generative enterprises.' The company's goal is to drive significant improvements in business operations and outcomes through its consulting services and technology implementations.

Edison, New JerseyHeadquarters
2014Year Founded
LATE_VCCompany Stage
Consulting, AI & Machine Learning, HealthcareIndustries
1,001-5,000Employees

Benefits

Remote Work Options

Risks

High competition in tech may impact Brillio's talent acquisition and service scaling.
Over-reliance on healthcare exposes Brillio to sector-specific regulatory and funding risks.
Expansion into new markets may stretch resources, leading to potential operational inefficiencies.

Differentiation

Brillio specializes in bespoke digital solutions for diverse industries, focusing on AI and cloud.
The company is recognized as an Enterprise Innovator in healthcare payer services.
Brillio's Cloud and AI Studio aims to modernize enterprise IT systems and optimize workflows.

Upsides

Increased demand for AI-driven healthcare solutions boosts Brillio's market potential.
Expansion in India enhances service delivery and innovation through a growing tech talent pool.
Recognition in Open Banking IT Services highlights Brillio's role in financial digital transformation.

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