Senior Data Scientist - Remote / Telecommute

• We are seeking a Senior Data Scientist to support key business objectives by leveraging advanced data science methodologies and analytical techniques.
• The ideal candidate will work on complex data problems, develop predictive models, and collaborate with cross-functional teams to deliver scalable analytical solutions.
• This role requires strong expertise in statistical modeling, machine learning, and modern data platforms., * Apply data science methodologies to solve complex business problems.
• Develop and implement machine learning and statistical models.
• Perform data mining, feature engineering, and data preprocessing.
• Collaborate with domain experts to validate model performance.
• Work with solution architects to design data pipelines and analytical systems.
• Build and maintain scalable data solutions using modern tools and technologies.
• Communicate findings, methodologies, and insights to stakeholders.
• Participate in daily project activities including coding, debugging, and troubleshooting.
• Identify root causes of issues and implement effective solutions.
• Mentor junior team members and promote knowledge sharing.

• Strong experience with data science methodologies and solving complex business problems.
• Proficiency in Python programming for data science and machine learning.
• Hands-on experience with Databricks platform.
• Experience in predictive modeling, statistical analysis, and machine learning techniques.
• Strong knowledge of SQL and working with large datasets.
• Experience with cloud platforms such as AWS or Azure.
• Experience with CI/CD practices and modern development workflows.
• Strong analytical, problem-solving, and communication skills.

Experience:

• Intermediate experience in data science or a related discipline.
• Proven experience analyzing complex business systems and large datasets.
• Experience building analytical and machine learning solutions.
• Familiarity with big data technologies and modern data tools.
• Experience working in Agile development environments., * Experience with the Ray framework.
• Familiarity with machine learning model validation and testing.
• Experience with big data platforms and distributed computing.
• Knowledge of data regulations and compliance requirements.

Skills:

• Data mining and data analysis.
• Predictive modeling and machine learning.
• Statistical modeling and hypothesis testing.
• Python programming and SQL.
• Cloud computing and big data platforms.
• Communication and stakeholder management.

Qualification And Education:

• Master's or Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field.
• Equivalent practical experience in data science or analytics roles.

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