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Senior Data Scientist, Customer Success

Pomelo Care is a technology-driven healthcare startup focused on improving maternal health outcomes through data and analytics. They are looking for a Senior Data Scientist to enhance their data culture and deliver actionable insights.

Skills

  • SQL
  • Data analytics
  • Statistical analysis
  • Programming (e.g., Python)
  • Data dashboarding/visualization tools (e.g., Looker, Tableau)

Responsibilities

  • Build analytic solutions to demonstrate Pomelo’s value
  • Generate data and insights for customers and internal teams
  • Build recurring and custom reports and dashboards
  • Collaborate with Customer Success and Finance teams
  • Identify opportunities to automate reporting processes

Education

  • Bachelor's degree in a related field
  • Master's degree preferred

Benefits

  • Competitive healthcare benefits
  • Generous equity compensation
  • Unlimited vacation
  • Membership in the First Round Network
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$170000 / YEARLY (est.)
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$150000K
$190000K

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What You Should Know About Senior Data Scientist, Customer Success, Pomelo Care

As a Senior Data Scientist for Customer Success at Pomelo Care, you'll play a pivotal role in shaping the narrative of our impact on maternal and infant health. Here, we pride ourselves on using data not just to tell a story, but to prove our value to payer partners and improve outcomes for moms and babies. Your expertise, built on at least four years of experience in data analytics and SQL, will allow you to dive deep into our patient care data and clinical outcomes—becoming a vital part of our data culture. You'll be responsible for crafting insightful reports and visually appealing dashboards, making complex data accessible to a range of audiences. Collaborating closely with the Customer Success team, you'll translate client needs into actionable strategies while also working with finance to frame effective billing approaches. Your creativity will shine as you explore the best ways to meet customer reporting requirements, ensuring we deliver trustworthy insights that highlight the importance of our work in improving maternal health. If you’re excited about leveraging data to enhance healthcare and enjoy cross-functional teamwork, this role at Pomelo could be your next adventure! You'll not only contribute to significant outcomes but also be part of a vibrant startup culture committed to respect and diversity.

Frequently Asked Questions (FAQs) for Senior Data Scientist, Customer Success Role at Pomelo Care
What are the main responsibilities of a Senior Data Scientist, Customer Success at Pomelo Care?

The Senior Data Scientist, Customer Success at Pomelo Care is responsible for building analytic solutions that demonstrate value to payer partners. This includes creating recurring and custom reports, collaborating with the Customer Success team to understand and translate customer needs into technical requirements, and working with the Finance team on billing strategies.

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What qualifications are required for the Senior Data Scientist position at Pomelo Care?

Candidates for the Senior Data Scientist position at Pomelo Care should have at least 4 years of professional experience in data analytics, data science, or statistical analysis involving SQL. Experience with healthcare data and data visualization tools like Tableau is a plus, along with strong communication skills.

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How does the Senior Data Scientist contribute to improving maternal health outcomes at Pomelo Care?

The Senior Data Scientist contributes to improving maternal health by leveraging data to demonstrate the effectiveness of Pomelo's care. This role involves generating insights that inform better care strategies, directly impacting outcomes for pregnant individuals and their babies.

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What tools and technologies are commonly used in the Senior Data Scientist role at Pomelo Care?

In the Senior Data Scientist role at Pomelo Care, professionals often utilize SQL for data analysis, along with programming languages like Python. Familiarity with data visualization tools such as Looker and Tableau is also beneficial.

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What is the team culture like for a Senior Data Scientist, Customer Success at Pomelo Care?

Pomelo Care fosters a collaborative and diverse team culture where respect for individual backgrounds thrives. As a Senior Data Scientist in Customer Success, you'll join a supportive environment that encourages innovative problem-solving and impact-driven work.

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Common Interview Questions for Senior Data Scientist, Customer Success
Can you describe your experience with SQL and how it applies to the Senior Data Scientist role?

In my previous roles, I utilized SQL extensively to extract and analyze data, focusing on providing insights that drive business decisions. For example, I created complex queries to identify trends in patient outcomes, which directly informed reporting for stakeholders.

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How would you approach translating customer needs into technical requirements?

I would start by having detailed discussions with the customer success team and clients to understand their goals. I’d ensure clarity by asking probing questions to capture their requirements comprehensively, which I would then document and translate into actionable technical specifications.

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What methods do you use to visualize complex data?

I use visualization tools like Tableau and Looker to create dashboards that simplify complex datasets into easily digestible insights. My goal is to focus on storytelling through data, emphasizing important metrics that resonate with various audiences.

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Describe a time when you identified a flaw in a data process and what you did to improve it.

In a previous role, I noticed that manual data entry was leading to inconsistencies. I proposed an automation solution that utilized SQL scripts to streamline data processing, reducing errors and saving time for the team. This initiative was later adopted across departments.

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How do you prioritize projects across different workstreams?

I prioritize projects by assessing their impact and urgency. I communicate with stakeholders to understand deadlines and expectations, then I create a roadmap that focuses on high-impact projects while remaining agile to accommodate shifting priorities.

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What do you believe is the biggest challenge in using data to improve maternal health?

One of the biggest challenges is effectively gathering and integrating diverse healthcare data sources while ensuring data accuracy. This requires a collaborative approach with various stakeholders to combine insights that truly represent patient care outcomes.

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How do you handle conflicting feedback from different stakeholders?

I address conflicting feedback by organizing meetings to gather all stakeholders, encouraging open communication. My goal is to align everyone’s objectives and find common ground, ensuring that the final solution addresses the most critical needs.

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What experience do you have in presenting data analyses to senior business audiences?

In my last position, I regularly presented analyses to senior management. I focused on delivering clear, concise reports that highlighted key findings and actionable insights, tailoring my presentations to align with the audience's interests to ensure engagement.

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How do you stay up-to-date with developments in data science and analytics?

I continually engage with online courses, participate in webinars, and follow industry leaders on social media platforms. I also attend workshops and conferences to stay informed about emerging trends and technologies in data science.

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Why do you want to work at Pomelo Care as a Senior Data Scientist?

I'm passionate about leveraging data to create a meaningful impact on maternal health. Pomelo's mission to improve outcomes for moms and babies through data-driven care resonates deeply with me, and I believe my skills and experiences can contribute to this vital work.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$150,000/yr - $190,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 13, 2024

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