Data Science Developer

Lendmark Financial Services

71d

About The Position

The Data Science Developer role is a critical contributor to the organization’s data-driven transformation. A person in this position will be responsible for designing, developing, and deploying advanced analytics solutions that support enterprise-wide initiatives in analytics, automation, and data governance. This role requires a combination of technical expertise and strategic insight to build predictive models, automate data workflows, and enhance data quality and accessibility across the enterprise. The individual will collaborate with cross-functional teams to deliver scalable solutions that improve decision-making, operational efficiency, and the overall maturity of the company’s data ecosystem.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data science and/or data engineering roles.
• Proficiency in Object Oriented Python, R, SQL, and cloud platforms (GCP, AWS, Azure).
• Familiarity with Development Operations frameworks such as Git.
• Experience with machine learning frameworks (TensorFlow, PyTorch, SciKit Learn, Stats Models, etc.) and big data tools (PySpark, Hadoop, Kafka).
• Strong communication and stakeholder engagement skills.
• Familiarity with data governance, compliance, and organizational design principles.

Nice To Haves

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience in financial services or operational analytics.
• Demonstrated ability to lead cross-functional projects and mentor junior analysts.
• Strategic mindset with a passion for innovation and continuous improvement.

Responsibilities

• Design and implement machine learning models and predictive analytics to support business strategy and operational improvements.
• Build and maintain robust data pipelines and scalable data infrastructure using tools such as SQL, Python, Spark, and MS Azure Fabric.
• Collaborate with cross-functional teams (Operations, Risk, Finance, IT, Marketing) to translate business needs into actionable data solutions.
• Develop dashboards and visualizations using Power BI, Tableau, or similar tools to communicate insights to stakeholders.
• Ensure data integrity, security, and compliance with internal governance protocols.
• Support data storytelling by preparing clear summaries and visualizations that help translate analytical findings into actionable insights.
• Engage in data science initiatives by contributing to coordination efforts, participating in team learning sessions, and assisting with tracking progress toward defined goals.

Benefits

• Medical, dental, vision benefits
• Paid time off
• Paid holidays
• 401(k)
• Life insurance
• Long-term disability
• Tuition assistance
• Employee assistance program
• Optional benefits such as critical care, auto, home and pet insurance, and other ancillary insurance options.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees