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 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. Brillios 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.
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. Masters 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: what its like to work and grow at Brillio: 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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$180000 - $190000 a year
Know what its like to work and grow at Brillio: Click here
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.
Required Experience:
Staff IC
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 renowned for its world-class professionals referred to as Brillians di...
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 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. Brillios 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.
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. Masters 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: what its like to work and grow at Brillio: 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.
#LI-AY1
$180000 - $190000 a year
Know what its like to work and grow at Brillio: Click here
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.
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
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