Brillio

Principal Data Scientist - R01568403

Brillio • $180K — $190K *
Edison, NJ 08817In-Person
Information Technology
11 - 15 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 15-18 years of experience in advanced data science roles
  • Leadership in designing and deploying statistical and machine learning solutions
  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related field
  • Certifications in machine learning, statistical analysis, or advanced data science
  • Strong programming skills in Python, PySpark, and R/R Studio

Responsibilities

  • Design and implement robust statistical models and machine learning algorithms for large-scale data analysis
  • Lead end-to-end development of data science projects
  • Collaborate with cross-functional teams to define business requirements and drive analytical solutions
  • Optimize and automate data pipelines using Python, PySpark, and R
  • Develop, validate, and maintain probabilistic graph models and statistical computing frameworks
  • Utilize industry-leading ML frameworks to build, train, and deploy models
  • Mentor junior data scientists, fostering technical excellence

Benefits

  • Opportunities for continuous learning and mentorship
  • Collaborative work environment with cross-functional teams
  • Access to advanced technology and tools in data science
  • Prospects for career advancement in a growing field
Full Job Description
Principal Data Scientist

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:
    1. Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics
    2. Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting
    3. Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact
    4. Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering
    5. Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks
    6. Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models
    7. Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI
    8. Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team
    Required Skills:
    1. Expertise in hypothesis testing, including T-Test and Z-Test methodologies
    2. Advanced proficiency in regression techniques (linear and logistic)
    3. Strong programming skills in Python, PySpark, and R/R Studio
    4. Hands-on experience with SAS and SPSS for statistical analysis and computing
    5. In-depth knowledge of probabilistic graph models
    6. Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX
    7. Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM)
    8. Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
    9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan)
    10. Working knowledge of Kubeflow and BentoML for model deployment and orchestration
    Preferred Skills:
    1. Experience implementing advanced model monitoring with Evidently AI
    2. Expertise in data pipeline automation and orchestration using Kubeflow
    3. Knowledge of emerging ML frameworks and architectures
    4. Experience with large-scale distributed computing environments
    5. Strong background in statistical validation and reproducibility best practices
    Desired Qualifications:
    1. Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
    2. Relevant certifications in machine learning, statistical analysis, or advanced data science


Know more about Data and AI: https://www.brillio.com/services-data-analytics/

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$180,000 - $190,000 a year

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Brillio

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

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Learn more about Brillio
Industry
Technical Services
Founded
2014
* Ladders Estimates

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