Be an early applicantLess than 25 applicants

Company

Brillio · 4 hours ago

Senior Data Science Lead - R01544662

United States

Full-time

Remote

Senior Level, Lead/Staff

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AnalyticsArtificial Intelligence (AI)

H1B Sponsor Likely

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Responsibilities

Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP).

Own the end-to-end lifecycle of model development: from data exploration and feature engineering to model training, deployment, and monitoring.

Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities. Translate complex data into clear and actionable business insights.

Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions. Communicate findings and model outcomes effectively to technical and non-technical audiences.

Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques. Act as a thought leader, contributing to the strategic roadmap of data science initiatives.

Collaborate with Data Engineers and ML Engineers to productionize models using cloud platforms (AWS, GCP, Azure) and MLOps frameworks. Ensure models are robust, scalable, and integrated with business workflows.

Monitor model performance post-deployment and iterate on models to improve accuracy and business value. Stay up-to-date with the latest tools, techniques, and trends in machine learning and data science.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Hypothesis TestingPythonMachine LearningStatistical AnalysisCloud PlatformsRTensorFlowPyTorchSQLBig Data TechnologiesStatistical ComputingFeature EngineeringKubeFlowBentoMLDecision TreesSVMSci-Kit LearnCNTKKerasMXNetEvidently AIARIMAARIMAXGreat ExpectationHamming DistanceEuclidean DistanceManhattan DistanceA/B TestingCollaboration Skills

Required

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic)

Python/PySpark

SAS/SPSS

Statistical analysis and computing

Probabilistic Graph Models

Great Expectation

Evidently AI

Forecasting (Exponential Smoothing, ARIMA, ARIMAX)

Tools(KubeFlow, BentoML)

Classification (Decision Trees, SVM)

ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet)

Distance (Hamming Distance, Euclidean Distance, Manhattan Distance)

R/ R Studio

Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP)

Own the end-to-end lifecycle of model development: from data exploration and feature engineering to model training, deployment, and monitoring

Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities

Translate complex data into clear and actionable business insights

Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions

Communicate findings and model outcomes effectively to technical and non-technical audiences

Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques

Act as a thought leader, contributing to the strategic roadmap of data science initiatives

Collaborate with Data Engineers and ML Engineers to productionize models using cloud platforms (AWS, GCP, Azure) and MLOps frameworks

Ensure models are robust, scalable, and integrated with business workflows

Monitor model performance post-deployment and iterate on models to improve accuracy and business value

Stay up-to-date with the latest tools, techniques, and trends in machine learning and data science

Machine Learning (Supervised/Unsupervised) Python/R, TensorFlow, PyTorch, Scikit-learn

Data Analysis and Feature Engineering SQL, Spark, Big Data Technologies

Cloud Platforms (AWS, Azure, GCP)

A/B Testing and Statistical Analysis

Excellent Communication and Collaboration Skills

Company

Brillio

Glassdoor

3.9

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

Founded in 2014

Santa Clara, California, USA

5001-10000 employees

http://www.brillio.com

H1B Sponsorship

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2023 (230)

2022 (297)

2021 (228)

2020 (339)