Sr Data Scientist

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

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll harness the power of data to drive impactful business solutions. In this role, you will analyze complex data sets, develop custom machine learning models, and create interactive visualizations using Power BI. Collaborating with cross-functional teams, you'll translate business goals into technical requirements, ensuring data quality and accuracy while staying updated on industry trends. This is a fantastic opportunity to make a significant impact in a dynamic environment where your expertise will be valued and your contributions will shape the future of data-driven decision-making.

Qualifications

• Proficiency in data science techniques and tools, especially machine learning.
• Advanced programming skills in Python for data analysis and model development.

Responsibilities

• Analyze complex data sets to derive insights and identify trends.
• Develop custom machine learning models to support business objectives.

Skills

Machine Learning

Statistical Modeling

Data Mining

Power BI

Python

SQL

Communication Skills

Problem-Solving

Education

Relevant Certifications in Data Science

Tools

Power BI

Databricks

Job description

Experience requested: Databricks. Deep learning, reinforcement learning, optimization, ML.

The Senior Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and creating visualizations using Power BI. The role will involve collaborating with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.

Key Responsibilities

1. Analyze and interpret large and complex data sets to derive insights and identify trends.
2. Develop and implement custom machine learning models and algorithms to support business objectives.
3. Create interactive and insightful visualizations using Power BI to present data-driven insights to stakeholders.
4. Collaborate with business stakeholders to understand their goals and translate them into technical requirements.
5. Work closely with data engineers to ensure data quality and accuracy for analysis.
6. Stay updated on industry trends and advancements in data science to continuously improve data methodologies.

Skill Requirements

1. Strong proficiency in data science techniques and tools such as machine learning, statistical modeling, and data mining.
2. Proficiency in Power BI for data visualization and reporting.
3. Advanced programming skills in Python for data analysis and model development.
4. Solid understanding of database management and SQL for data querying and manipulation.
5. Excellent communication and presentation skills to effectively convey complex findings and insights to non-technical stakeholders.
6. Strong problem-solving and analytical skills to tackle complex data challenges efficiently.

Certifications: Relevant certifications in data science, Power BI, and Python are a plus.