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Sr. Data Scientist

Sr Data Scientist - GD07AEWe're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.Sales & Underwriting AnalyticsAs a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.Must be eligible to work in the US without company sponsorshipThis role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday).Responsibilities:Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journeyCollaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate assetLead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance AnalystsAssist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantageContribute to successful implementation of strategies to achieve targeted business objectivesDevelop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertiseRemain current on research techniques and become familiar with state-of-the-art tools applicable to your functionProvide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisionsLearn/bring best practices to guide the direction of our Data Science and Data Engineering workflowsQualifications:5+ years of relevant experience recommendedMaster's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designationProficiency in statistical modeling, inference, and building machine learning algorithms in PythonProficiency in SQL and navigating databases to extract relevant attributesProficiency in Unix and GitProficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validationExperience building modeling solutions in cloud-native environments, such as Sagemaker, a plusAble to communicate effectively with both technical and non-technical teamsAble to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solutionExperience with leading project execution and driving change to core business processes through the innovative use of quantitative techniquesCandidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$106,960 - $160,440Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits
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$106960K
$160440K

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What You Should Know About Sr. Data Scientist, The Hartford

If you're an experienced data aficionado looking to take the next leap in your career, The Hartford's opening for a Sr. Data Scientist in Windsor Locks, CT might just be the perfect fit for you! This role is not merely about crunching numbers; it's about innovating and shaping the future of insurance by developing machine learning and AI solutions for various strategic initiatives. You'll dive deep into the world of statistical models and algorithms, working closely with cross-functional teams to drive business results. Your mission will be to craft solutions that enhance the customer journey and support the organization’s vision of leveraging analytics as a core asset. Collaboration is at the heart of this role, as you'll lead projects with fellow data scientists and performance analysts, all while utilizing cutting-edge technologies and frameworks in a hybrid work environment. With a recommended 5+ years of experience and a background in fields like Statistics or Data Science, your skills in Python, SQL, and machine learning algorithms will play a crucial role in identifying new data sources and analytical techniques that keep The Hartford ahead in the game. As you help implement impactful strategies, your work will not only advance your career but significantly influence the lives of customers too. Ready to step into a role that's dynamic, collaborative, and focused on continuous improvement? We want to hear from you!

Frequently Asked Questions (FAQs) for Sr. Data Scientist Role at The Hartford
What are the responsibilities of a Sr. Data Scientist at The Hartford?

As a Sr. Data Scientist at The Hartford, your primary responsibilities will include creating advanced statistical models and machine learning algorithms to meet financial goals and enhance the customer journey. Collaborating with business stakeholders is essential, ensuring that analytics is viewed as a corporate asset. Additionally, you'll lead machine learning projects, explore new data sources, and implement strategies that provide significant business value.

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What qualifications are required for the Sr. Data Scientist role at The Hartford?

To qualify for the Sr. Data Scientist position at The Hartford, candidates should possess a Master's or Ph.D. in a relevant analytical field, such as Statistics or Data Science, along with 5+ years of experience in data analytics. Skills in statistical modeling, machine learning using Python, and database navigation using SQL are essential, along with a solid understanding of the entire modeling lifecycle.

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What technologies will I work with as a Sr. Data Scientist at The Hartford?

In the Sr. Data Scientist role at The Hartford, you'll utilize the latest technologies in machine learning, MLOps, and Agile delivery frameworks. Experience with cloud-native environments like Sagemaker, proficiency in Unix, and version control systems like Git will enhance your contributions to innovative solutions that maximize business value.

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What type of work environment does the Sr. Data Scientist at The Hartford have?

The Hartford offers a hybrid work environment for the Sr. Data Scientist position. This means you'll be expected to work in the office location three days a week while also enjoying flexibility with remote work. This arrangement supports collaboration with your team while allowing for a balanced work-life dynamic.

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How does teamwork play a role in the Sr. Data Scientist position at The Hartford?

Collaboration is key in the Sr. Data Scientist role at The Hartford. You'll lead projects that involve working closely with various business analysts, data engineers, and other data scientists, fostering an environment where innovative solutions are developed through collective brainstorming and effort. This teamwork ensures effective execution of modeling projects that align with strategic business goals.

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Common Interview Questions for Sr. Data Scientist
Can you discuss your experience with statistical modeling as a Sr. Data Scientist?

When answering this question, focus on specific models you've developed, the methodologies used, and the outcomes achieved. Highlight scenarios where your models made a direct impact on business decisions or improved processes, showcasing your ability to leverage statistical analysis to drive success.

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What machine learning techniques are you most familiar with for data analysis?

Outline your familiarity with a range of machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning. Provide examples of projects where you successfully applied these techniques, emphasizing how they contributed to understanding or solving business problems.

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How do you ensure the accuracy of your models?

Discuss your approach to model validation and testing, mentioning techniques like cross-validation, training-validation-test splits, and performance metrics used to assess model accuracy. Emphasize the importance of monitoring model performance over time to identify when re-training is necessary.

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Describe your experience with cloud-native environments.

Share your hands-on experience in working with cloud platforms like AWS, Azure, or Google Cloud. Mention specific tools such as Sagemaker or Azure ML, and explain how you leveraged them to deploy and manage machine learning models effectively, improving scalability and efficiency.

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What is your process for translating business requirements into technical solutions?

Detail your methodology for gathering requirements from stakeholders, and how you translate these into data-driven requirements. Discuss your collaborative efforts with technical teams to ensure solutions align with business objectives and are practical to implement.

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Can you provide an example of a successful project you've led?

Choose a specific project, detailing your role, the strategies employed, and the measurable results achieved. Focus on how your leadership, technical skills, and team collaboration led to a successful outcome that solved a complex business problem.

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How do you stay up-to-date with the latest data science trends and technologies?

Demonstrate your commitment to continuous learning by mentioning resources such as journals, conferences, webinars, and online courses you actively pursue. Discuss how you apply this knowledge to your work and its impact on your contributions as a Sr. Data Scientist.

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What role does cross-functional collaboration play in your work?

Highlight experiences where collaboration led to significant achievements. Discuss your communication style and how you ensure that both technical and non-technical stakeholders are aligned in projects, allowing for smoother workflows and shared understanding.

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What challenges have you faced as a Data Scientist, and how did you overcome them?

Reflect on specific challenges, whether technical, project-related, or team dynamics. Explain the steps you took to address these issues, showcasing your problem-solving skills, resilience, and ability to learn from experiences in the field.

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How do you approach data privacy and ethical considerations in your work?

Discuss your understanding of data privacy regulations and principles, and how you implement best practices in your data analysis work. Emphasize the importance of ethical handling of data, especially when building models, and how you ensure compliance with relevant laws.

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The Hartford is a leader in property and casualty insurance, group benefits and mutual funds. We have a passion for helping people and businesses prepare for the unexpected, protect what is uniquely important to them, and prevail when the unforese...

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Full-time, hybrid
DATE POSTED
December 7, 2024

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