Description

The Digital Technology Data Scientist Lead will spearhead data-driven initiatives that influence business decisions. This role involves collaborating with cross-functional teams to understand complex business requirements and building predictive models and machine-learning algorithms. You will have the unique opportunity to impact the organization’s strategic roadmap for data science while working in a dynamic and innovative environment.

Company Culture and Environment

The company fosters a collaborative atmosphere where communication and teamwork are paramount. It encourages individuals to engage with various business units, promoting a culture of excellence and innovation. The ideal candidate will thrive in a setting that values storytelling with data and strategic business impact.

Career Growth and Development Opportunities

This role provides an excellent platform for professional growth as you will mentor other team members and support advancements in data science technologies and best practices. You will have opportunities to enhance your skills and contribute significantly to strategic projects.

Detailed Benefits and Perks

• Relocation assistance offered
• Flexible work arrangements include 3 days in-office and up to 2 days remote
• Minimum travel requirements (1-2 times per year to other sites)
• Bonuses up to 10% based on performance

Compensation and Benefits

• Compensation Range: $139,800.00/year
• Comprehensive benefits package including health, dental, and vision insurance

Why you should apply for this position today

This is a remarkable opportunity to utilize your data science expertise in a role that directly influences business outcomes. By joining our team, you will contribute to innovative projects that shape the future of the company and its operations.

Skills

• Proficiency in data science tools such as Azure Databricks, Power BI, Spark, Python, R, and C
• Strong analytical skills for processing structured and unstructured datasets
• Excellent communication skills to convey insights to technical and non-technical audiences
• Experience in building predictive models and machine-learning algorithms
• Ability to lead complex data science projects and mentor team members

Responsibilities

• Analyze large datasets to identify client trends and patterns
• Collaborate with data analysts, engineers, and business stakeholders to address data needs
• Develop and integrate complex predictive models into existing systems
• Direct data science assignments, visualization tasks, and data quality improvements
• Document solutions to track and manage incidents and changes
• Coach colleagues on best practices in data science and business intelligence

Qualifications

• Minimum of 5 years of experience in data science or related fields
• Proven ability to gather business requirements and build impactful solutions
• Strong background in supply chain functions preferred

Education Requirements

• Bachelor’s degree in a related field

Education Requirements Credential Category

• Bachelor’s degree

Experience Requirements

• 5+ years of experience in data science or related work

Why work in Frederick, MD

Frederick, MD is a vibrant community that offers a blend of historical charm and modern amenities. With a rich arts scene, diverse culinary options, and numerous outdoor recreational activities, it provides a great quality of life. Additionally, its proximity to major metropolitan areas allows for convenient access to urban opportunities while enjoying a more relaxed lifestyle.