At EMC, you'll put your skills to good use as an important member of our team. You can count on gaining valuable experience while contributing to the company's success. EMC strives to hire and retain the best people by engaging, developing and rewarding employees.

This position can be performed remotely for candidates who reside in the state of Iowa

Essential Functions

Leads machine learning operations (MLOps) driven full-cycle data science projects, including problem definition, data exploration, model creation, evaluation, and deployment
Reviews artificial intelligence (AI), machine learning (ML), and statistical models developed by the team for accuracy. Supports team in generating insights and recommendations
Collaborates with stakeholders to understand business requirements and translate them into actionable initiatives to embed analytics and streamline operations
Ensures the team understands the scope and requirements for each project assigned, and escalates resource allocation and performance issues when necessary
Creates processes to measure the value of initiatives based on established criteria and ensures the team is meeting goals
Oversees and monitors the workload and performance of the team
Guides team through complex work issues and answers questions
Conducts performance reviews and provides coaching
Develops team expertise and assists with succession planning, including identifying talent and implementing development plans for critical positions
Stays updated with the latest advancement and trends in data science and analytics and evaluates their applicability to the team’s projects
Collaborates with business partners, Strategic Analytics team members, and project owners to identify top data science opportunities
Communicates data science vision, capabilities, and goals to team and business partners

Education & Experience

Bachelor’s degree in mathematics, statistics, computer science, data science or related field and Certified Specialist in Predictive Analytics (CSPA) OR Master’s degree in mathematics, statistics, computer science, data science, or related field
Seven years of experience in data science, including experience with artificial intelligence or machine learning, or related experience
Prior experience in property and casualty insurance preferred
Prior leadership or supervisory experience preferred

Knowledge, Skills & Abilities

Excellent knowledge of data analysis tools and techniques, such as generalized linear models, decision trees, gradient boosting machines, random forests, boosting, bagging, neural networks, further statistical analysis, machine learning, or deep learning techniques
Advanced knowledge of programming within R, Python, SQL, Hadoop, and other data visualization tools
Strong property and casualty insurance knowledge
Excellent verbal and written communication skills
Excellent ability to translate technical ideas into more general terms for business customers
Excellent analytical, investigation, and problem-solving skills

Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.

All of our locations are tobacco free including in company vehicles.

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