Gen AI

TechDigital Group; Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Job summary

TechDigital Group in Washington, DC is seeking a Senior Data Scientist to analyze complex data sets, build custom models, and develop Power BI visualizations to drive business decisions. You will collaborate with cross-functional teams to translate needs into scalable data solutions.

You will deploy ML models, ensure data quality with data engineers, and stay ahead of industry trends. Strong Python and SQL skills, plus excellent communication, are essential for presenting insights to

Qualifications

• Experience with ML, statistical modeling, and data mining.
• Proficient in Power BI for visualization.
• Advanced Python programming for data analysis and model development.
• Strong SQL querying and data manipulation skills.
• Excellent communication and ability to present to nontechnical stakeholders.
• Strong problem-solving and analytical abilities.

Responsibilities

• Analyze large, complex datasets to derive client insights and identify trends.
• Develop and deploy custom ML models to support business objectives.
• Create interactive Power BI visualizations to present insights to stakeholders.
• Collaborate with business stakeholders to translate goals into technical requirements.
• Work with data engineers to ensure data quality and accuracy.
• Stay current with data science trends to improve methodologies.

Skills

Machine learning

Power BI

Python programming

SQL querying

Communication skills

Analytical thinking

Tools

Power BI

SQL

Job description

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 Client 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 nontechnical 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.