SAP Solution Architect

TechDigital Group; United States; Remote; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a talented Senior Data Scientist to join their innovative team. In this exciting role, you will leverage your expertise in statistical modeling and machine learning to analyze large datasets and derive actionable insights. You'll work on diverse projects, including predictive modeling and natural language processing, utilizing cutting-edge Azure technologies. Your contributions will directly impact decision-making processes and enhance business outcomes. If you are passionate about data science and thrive in a collaborative environment, this is the perfect opportunity to advance your career and make a meaningful difference in the field.

Qualifications

• 5+ years of experience in data science with expertise in statistical modeling and machine learning.
• Strong knowledge of Azure data science technologies and data analysis tools.

Responsibilities

• Develop statistical models and machine learning algorithms using Azure Machine Learning.
• Collaborate with teams to identify business problems and develop data-driven solutions.

Skills

Statistical Modeling

Machine Learning

Data Analysis

Data Visualization

Problem-Solving

Communication Skills

Education

Master's or PhD in Computer Science

Master's or PhD in Statistics

Master's or PhD in Mathematics

Tools

Azure Machine Learning

Power BI

Python

R

SQL

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Hadoop

Spark

Job description

Job Description: We are seeking a talented Senior Data Scientist to join our team. The ideal candidate will have a deep understanding of statistical modeling and machine learning techniques, as well as experience in data analysis and visualization using Azure, Azure Machine Learning, and Azure data science technologies. In this role, you will work on a variety of projects, including predictive modeling, data mining, and natural language processing.

Responsibilities:

1. Develop statistical models and machine learning algorithms to analyze large datasets and extract insights using Azure Machine Learning.
2. Collaborate with cross-functional teams to identify business problems and develop solutions using Azure data science technologies.
3. Conduct data analysis and visualization to communicate findings to stakeholders using Power BI and other Azure tools.
4. Design and implement experiments to test hypotheses and improve model performance using Azure Machine Learning.
5. Develop and maintain predictive models to support decision-making processes using Azure Machine Learning.
6. Work with engineering teams to deploy models into production environments using Azure technologies.
7. Stay current with industry trends and research in machine learning and data science, with a particular focus on Azure technologies.
8. Mentor junior data scientists and provide guidance on best practices for using Azure and other data science tools.

Requirements:

1. Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
2. 5+ years of experience in data science or a related field.
3. Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks.
4. Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
5. Strong communication skills and the ability to present complex data in a clear and concise manner, using tools such as Power BI.
6. Experience with big data technologies, such as Hadoop or Spark, is a plus.
7. Strong problem-solving skills and the ability to work independently or as part of a team.
8. Experience in the industry domain is a plus, as is experience with Azure Machine Learning and other Azure technologies.

If you are a highly motivated, results-driven individual with a passion for data science and machine learning, particularly with Azure and other cloud-based technologies, we would love to hear from you.