Sr. Data Scientist

ERGO Group AG; Cincinnati (OH); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Sr. Data Scientist, where you will leverage your expertise in AI and machine learning to revolutionize business decision-making. This innovative role offers the chance to work with diverse data sets, tackle complex problems, and contribute to strategic initiatives that enhance customer satisfaction and profitability. With a hybrid work environment, you will collaborate with various stakeholders while enjoying a flexible workplace that supports your career growth and work-life balance. If you are passionate about data science and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health insurance options

401k plan with employer match

Paid time off starting at 24 days

Tuition assistance

On-site wellness center

Complimentary workout facility

Corporate matching gifts program

Paid time off for volunteering

Financial assistance for adoptions

Wellness programs

Qualifications

• Strong background in statistical programming and data analysis.
• Experience with machine learning techniques and data wrangling.

Responsibilities

• Design and deploy AI/ML models to drive business growth.
• Analyze complex business problems and develop tailored solutions.

Skills

Statistical programming in Python

SQL

Machine learning techniques

Data wrangling

Data cleaning

Education

Master’s degree in Business Analytics

Statistics/Math and Computer Science double major

Tools

Databricks

MLflow

Job description

Company
American Modern Insurance Group
Location
Cincinnati, United States

Title: Sr. Data Scientist

Location: current schedule is hybrid (40-50% in the Amelia, Ohio office)

*Please add a cover letter with details if you are not local and plan to relocate for the hybrid schedule

Exempt position

Applicants requiring employer sponsorship of a visa will not be considered for this position.

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property – such as manufactured homes and specialty dwellings – and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can’t. We write admitted products in all 50 states and have a premium volume of $1.9 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re’s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

Join our innovative Predictive Analytics team as a Sr. Data Scientist and play a key role in revolutionizing business decision-making through the power of Artificial Intelligence and Machine Learning. As a member of the AI/ML Predictive Analytics team, you will have the opportunity to design, develop, and deploy cutting-edge AI/ML models that drive business growth and inform strategic initiatives. You will work closely with various stakeholders to identify complex business problems and develop tailored solutions using advanced statistical and machine learning techniques. With a focus on creative problem-solving, collaboration, and communication, you will have the chance to make a real impact on our organization and contribute to the development of new analytics methodologies and best practices. Whether you have a background in insurance or are looking to apply your data science skills in a new and exciting field, this role offers a unique opportunity to work with diverse data sets, tackle challenging problems, and presents a rewarding career path for talented data scientists looking to make a difference.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

• Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
• Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
• Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
• Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
• Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
• Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
• Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
• Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.
• Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
• Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills:

• Strong background in Statistical programming inPython, SAS, or related software. General programing and data knowledge including SQL.
• Familiarity with common statistical and machine learning techniques such as linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, Clustering techniques, and shrinkage techniques (including lasso regression).
• Experience with data wrangling, evaluating data quality, transforming and cleaning data as appropriate for analysis.
• Familiarity with technologies like Databricks and MLflow is a plus

Education, Certifications & Designations:

• Master’s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

• Two options for your health insurance plan (PPO or High Deductible)
• Prescription drug coverage (included in your health insurance plan)
• Vision and dental insurance plans
• Short and Long Term Disability coverage
• Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
• Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:

• A robust 401k plan with up to a 5% employer match
• A retirement savings plan that is 100% company funded
• Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
• Eligibility to receive a yearly bonus as a Munich Re employee
• A variety of health and wellness programs provided at no cost
• A hybrid environment that gives you a choice in where and how you get work done
• A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
• An on-site complimentary workout facility as well as walking trails on campus grounds
• On-site wellness center complete with nurse practitioner
• Financial assistance for adoptions and infertility treatment
• Paid time off for eligible family care needs
• Tuition assistance and educational achievement bonuses
• Free parking
• A corporate matching gifts program that further enhances your charitable donation
• Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.