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Data Scientist

WarrCloud is a well-funded, high-growth startup that has pioneered a cutting-edge, machine-learning-enabled SaaS platform to automate warranty claims processing for automotive dealerships and OEMs. If you’re excited about working with an innovative, fast-growing company in the automotive software space, this opportunity is for you! As the first-to-market leader, we are experiencing rapid expansion and are looking for a Data Scientist to join our team.

As a Data Scientist, you will be joining a small product team who are passionate, friendly, collaborative, and driven. We use an agile methodology in the way that we work together and on our cloud-based application. To be successful in this role, you must be passionate about building an application that is extraordinary while working in an often ambiguous and ever-evolving business. In your role, you will help us uncover insights that drive strategic decisions, enhance our product offerings, and elevate customer experiences. This role will play a critical part in analyzing large datasets, building and deploying machine learning models, and translating complex findings into actionable business recommendations. You will work closely with cross-functional teams in Product, Engineering and IT, Service Delivery, and Customer Success. 

Top Reasons to Work with Us

  • 100% Remote opportunity
  • Competitive salary
  • Health care, 401k, and other benefits
  • Stable / Fast Growing / Exciting company
  • Chance to work with leading AI/ML technology
  • Awesome company culture!

What You Will Be Doing

The Data Scientist will report directly to the VP of Product in the product team. The product team is responsible for product planning, execution, and enhancements by gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, operations, and sales teams to ensure revenue and customer satisfaction goals are met. As the Domain Owner, your natural curiosity will drive you to uncover technical problems and will require the use of your abilities to find optimal solutions. 

Responsibilities

  • Analyze large datasets from multiple sources to identify trends, correlations, and anomalies, leveraging statistical and machine-learning techniques.
  • Build, test, and deploy machine learning models to enhance platform features such as predictive analytics, recommendations, and real-time insights.
  • Collaborate with engineering teams to ensure seamless integration of deployed models into production environments.
  • Continuously monitor and optimize the performance of deployed models to ensure reliability and accuracy at scale.

What You Need for this Position

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of hands-on experience in data science, preferably in an Automotive on Prem or SaaS environment.
  • Strong programming skills in Python or R.
  • Familiarity with SQL for data extraction and manipulation.
  • Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Demonstrated experience with model deployment and integration into production systems, with a focus on real-time predictions.
  • You thrive in a fast-paced environment.
  • You are a highly effective communicator with the ability to liaise seamlessly across different teams.
  • A passion for automating processes.
  • Expert in data visualization.
  • Experience working in an Agile environment.

Nice to Have

  • Experience in the automotive warranty or fixed operations space (preferred).
  • Experience with Confluence and Jira (preferred).
  • Experience with AWS data and ML infrastructure, including but not limited to RDS, Redshift, and SageMaker.
  • Graduate degree in Data Science.

  • As a valued employee, you will be able to enroll in benefits immediately upon hire that takes effect the first day of the month following your start date.
  • Free employee health insurance.
  • Generous Paid Time Off.
  • 401k with employer match.
  • We recognize 10 major holidays per year.
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CEO of WarrCloud
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Jim Roche
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Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Data Scientist, WarrCloud

WarrCloud is on the lookout for a talented Data Scientist to join our dynamic team! If you're passionate about the automotive software space and eager to work with cutting-edge machine learning technology, this might be the perfect opportunity for you. As a leader in warranty claims processing automation, we pride ourselves on our innovative and fast-paced environment, and we're thrilled to offer a 100% remote position for the right candidate. In this role, you'll work closely with a small, friendly team that embraces collaboration and agile methodologies. Your primary responsibility will be to analyze vast amounts of data, build and deploy machine learning models, and provide actionable insights that will drive our product enhancements and elevate the customer experience. We value curiosity and adaptability, so if you're someone who loves digging into data to uncover trends and solve complex problems, you'll fit right in! With benefits including a competitive salary, health care, generous PTO, and a supportive company culture, we're committed to ensuring our employees thrive professionally and personally. If you're ready to take your data science career to new heights with WarrCloud, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Data Scientist Role at WarrCloud
What does a Data Scientist do at WarrCloud?

At WarrCloud, a Data Scientist is responsible for analyzing large datasets, building machine learning models, and translating complex insights into actionable business strategies. They collaborate closely with cross-functional teams, ensuring data-driven decisions enhance product offerings and customer experiences.

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What qualifications are needed for the Data Scientist position at WarrCloud?

WarrCloud seeks candidates with a Bachelor's degree in Data Science, Computer Science, or a related field, paired with at least 5 years of hands-on experience in data science. Proficiency in Python or R programming, familiarity with SQL, and expertise in machine learning frameworks are essential for this role.

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Is the Data Scientist role at WarrCloud a remote opportunity?

Yes, the Data Scientist position at WarrCloud is fully remote. We embrace a flexible work environment that allows our team members to thrive from anywhere while contributing to our exciting projects.

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What tools and technologies will a Data Scientist use at WarrCloud?

As a Data Scientist at WarrCloud, you will leverage programming languages like Python and R, utilize SQL for data management, and work with machine learning frameworks such as TensorFlow and Scikit-learn to develop and deploy models.

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What is the company culture like at WarrCloud for Data Scientists?

WarrCloud fosters a collaborative and friendly culture, where Data Scientists play a vital role in product development. Our agile environment encourages innovation and teamwork, allowing you to contribute your ideas and insights freely.

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What potential career growth does a Data Scientist have at WarrCloud?

Data Scientists at WarrCloud have the opportunity to grow within the company by taking on more complex projects, leading initiatives, or transitioning into leadership roles as the company expands and diversifies its product offerings.

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What benefits does WarrCloud offer to its Data Scientists?

WarrCloud provides a competitive salary, complete health insurance coverage, generous PTO, a 401k with employer matching, and a positive work environment that prioritizes employee well-being from day one.

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Common Interview Questions for Data Scientist
Can you describe your experience with machine learning models in the Data Scientist role?

In your response, highlight specific projects where you've built and deployed machine learning models, discussing your approach to model selection, training, evaluation, and deployment processes. Share how these models impacted your previous organization.

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How do you handle large datasets and which tools do you prefer?

Explain your experience with big data tools and languages, such as SQL for data querying, and your proficiency in data manipulation using Python or R. Discuss how you optimize performance when working with large datasets.

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What is your experience with data visualization and its importance in data science?

Discuss your familiarity with data visualization tools like Tableau or Matplotlib, and emphasize how clear visualizations can translate complex data insights into comprehensible narratives for stakeholders.

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How do you ensure the accuracy of your models?

Detail your process for validating models, including techniques like cross-validation, checking for overfitting, and monitoring models in production to ensure they continue to perform accurately over time.

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Can you discuss a time when you identified an important insight from data?

Share a specific example where you analyzed data to uncover significant trends, the methods you used to analyze it, and how that insight led to a business decision or a change in strategy.

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What is your approach to collaborating with engineering and product teams?

Reflect on your communication strategies and collaboration tools, discussing how you ensure smooth integration of data science solutions into product development cycles, especially in agile environments.

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Tell us about your experience with predictive analytics.

Discuss specific projects where you've employed predictive analytics techniques. Include the business problems you addressed and the outcomes of utilizing predictive modeling in those scenarios.

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How do you prioritize data science projects?

Describe your criteria for prioritization, such as business impact, resource availability, and alignment with company goals. Give examples where you successfully managed project timelines and stakeholder expectations.

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

Be honest about real challenges you've encountered, whether technical or collaborative, and explain your thought process in finding solutions, emphasizing your problem-solving mindset and adaptability.

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Why do you want to work for WarrCloud as a Data Scientist?

Articulate your enthusiasm for the automotive industry, your interest in the innovative projects at WarrCloud, and how your skills align with the company’s mission to automate warranty processes through cutting-edge technology.

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Our mission at WarrCloud is to drive increased profitability for the dealer, and we do that through tech-enabling their warranty processing. —Jim Roche, Founder and Executive Chairman of WarrCloud

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 28, 2024

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