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Principal Data Scientist
BrillioUnited StatesPrincipal Data ScientistBrillio 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
Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
Bunge Iberica SAWildwoodPrincipal Data Scientist Date: May 15, 2026 Location: Chesterfield, MO, US, 63017 A Day In The Life We are seeking a highly motivated and experienced Principal Data Scientist with strong expertise in
Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
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Initial Therapeutics, Inc.New YorkAbout Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.Advancements in AI and drug discovery are creating more candidate d
Principal Data Scientist:
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Sr. Principal Data Scientist - | , |
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Principal Data Scientist, Online
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Novartis FarmacéuticaEast HanoverHybrid Working This role requires a hybrid working model based in East Hanover, New Jersey, with an expectation of 12 days per month onsite. Novartis cannot sponsor visas for this location. Location:
À propos
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. Job requirements Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions Key Responsibilities: Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team Required Skills: Expertise in hypothesis testing, including T-Test and Z-Test methodologies Advanced proficiency in regression techniques (linear and logistic) Strong programming skills in Python, PySpark, and R/R Studio Hands-on experience with SAS and SPSS for statistical analysis and computing In-depth knowledge of probabilistic graph models Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM) Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet Familiarity with distance metrics (Hamming, Euclidean, Manhattan) Working knowledge of Kubeflow and BentoML for model deployment and orchestration Preferred Skills: Experience implementing advanced model monitoring with Evidently AI Expertise in data pipeline automation and orchestration using Kubeflow Knowledge of emerging ML frameworks and architectures Experience with large-scale distributed computing environments Strong background in statistical validation and reproducibility best practices Desired Qualifications: Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Relevant certifications in machine learning, statistical analysis, or advanced data science 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.
Compétences linguistiques
- English
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