About the role
Data Scientist Permanent Position!
Job Summary:
As a Data Scientist, the beneficiary’s job duties will include:
● Use statistical techniques such as A/B testing to analyze and improve client onboarding applications, helping enhance user experience and drive better conversion outcomes.
● Design and implement data pipelines, data preparation frameworks, and analytical models to analyze large datasets using statistical tools.
● Perform data analysis, feature engineering, and model development for predictive analytics using python programming language.
● Develop and optimize machine learning models for financial data use cases such as forecasting and anomaly detection.
● Evaluate machine learning models using performance metrics to ensure they deliver reliable and meaningful results.
● Analyze business or financial data through reporting software to support decision-making.
● Create dashboards and analytical reports using Microsoft Power BI to support business decision-making.
● Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and present insights.
● Build and deploy AI-powered applications using agentic workflows leveraging OpenAI models and related frameworks.
The technical skills required for this role are: working knowledge of data science methodologies, statistical analysis, machine learning algorithms, A/B testing, data pipelines, proficiency in programming languages such as Python and SQL, cross-functional collaboration, AI/ML system design, large language models, agentic workflows, cloud platforms such as Azure and Databricks, and dashboarding/visualization tools like Microsoft Power BI.
Minimum Requirements:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related field.
• Related experience in Data Science, Machine Learning, Statistical Analysis, Predictive Modeling, and Data Analytics.
• Strong experience working with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar data science and machine learning frameworks.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Strong knowledge of statistical analysis, hypothesis testing, data mining, feature engineering, and model evaluation techniques.
• Experience processing and analyzing large structured and unstructured datasets from multiple data sources.
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is preferred.
• Knowledge of data preprocessing, ETL workflows, data validation, and data quality management practices.
• Understanding of Machine Learning operations (MLOps), model deployment, monitoring, and CI/CD pipelines is preferred.
• Familiarity with Big Data technologies such as Apache Spark, Hadoop, Databricks, or Snowflake is preferred.
• Understanding of data governance, data privacy, security standards, and role-based access controls.
• Strong analytical, problem-solving, organizational, communication, presentation, and teamwork skills.
Benefits:
SAR TECH LLC offers company-standard benefits, including:
• Medical Insurance
• 401(k) Retirement Plan
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Job Summary:
As a Data Scientist, the beneficiary’s job duties will include:
● Use statistical techniques such as A/B testing to analyze and improve client onboarding applications, helping enhance user experience and drive better conversion outcomes.
● Design and implement data pipelines, data preparation frameworks, and analytical models to analyze large datasets using statistical tools.
● Perform data analysis, feature engineering, and model development for predictive analytics using python programming language.
● Develop and optimize machine learning models for financial data use cases such as forecasting and anomaly detection.
● Evaluate machine learning models using performance metrics to ensure they deliver reliable and meaningful results.
● Analyze business or financial data through reporting software to support decision-making.
● Create dashboards and analytical reports using Microsoft Power BI to support business decision-making.
● Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and present insights.
● Build and deploy AI-powered applications using agentic workflows leveraging OpenAI models and related frameworks.
The technical skills required for this role are: working knowledge of data science methodologies, statistical analysis, machine learning algorithms, A/B testing, data pipelines, proficiency in programming languages such as Python and SQL, cross-functional collaboration, AI/ML system design, large language models, agentic workflows, cloud platforms such as Azure and Databricks, and dashboarding/visualization tools like Microsoft Power BI.
Minimum Requirements:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related field.
• Related experience in Data Science, Machine Learning, Statistical Analysis, Predictive Modeling, and Data Analytics.
• Strong experience working with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar data science and machine learning frameworks.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Strong knowledge of statistical analysis, hypothesis testing, data mining, feature engineering, and model evaluation techniques.
• Experience processing and analyzing large structured and unstructured datasets from multiple data sources.
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is preferred.
• Knowledge of data preprocessing, ETL workflows, data validation, and data quality management practices.
• Understanding of Machine Learning operations (MLOps), model deployment, monitoring, and CI/CD pipelines is preferred.
• Familiarity with Big Data technologies such as Apache Spark, Hadoop, Databricks, or Snowflake is preferred.
• Understanding of data governance, data privacy, security standards, and role-based access controls.
• Strong analytical, problem-solving, organizational, communication, presentation, and teamwork skills.
Benefits:
SAR TECH LLC offers company-standard benefits, including:
• Medical Insurance
• 401(k) Retirement Plan
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Requirements
REQUIREMENTS
Data Scientist
Ability to work in a project driven environment
Data Scientist
Ability to work in a project driven environment
SAR Tech LLC is an equal opportunity employer. Applicants must be legally authorised to work in the United States.