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Lead Data Scientist - Retail/eCommerce

About Locally


Locally is at the forefront of bridging the gap between online shopping and local retail experiences. Founded in 2013, we've built the world’s largest network of specialty brands and retailers, revolutionizing the way people shop. Our mission is to fortify local economies by enabling shoppers to buy products from neighborhood retailers. Partnering with prominent names like Yeti, Trek, Sonos, Dicks, REI, Crocs, and BrooksRunning, we've created a significant impact. Our tools captivate over 30 million unique shoppers monthly, generating over 2 billion annual engagements worldwide.

About the position

We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. This is a fully remote position based in the U.S. or Canada.

The ideal candidate will have a deep understanding of retail & eCommerce, with a keen eye for metrics that drive brand success. You will play a pivotal role in analyzing complex data sets and building tools that extract meaningful insights, inform business decisions, and contribute to the strategic direction of Locally and our customers.

Responsibilities

  • Own the development of our data science and analytics infrastructure, tools, and best practices
  • Analyze large, complex data sets to uncover hidden patterns, market trends, and customer preferences
  • Develop and maintain customer-facing data and analytics visualization tools
  • Develop predictive models and machine-learning algorithms to forecast sales and assist with marketing needs
  • Collaborate with cross-functional teams to translate data insights into actionable business strategies via internal dashboards and memos
  • Present findings and recommendations to stakeholders in a clear, concise manner
  • Continuously monitor and assess the effectiveness of data-driven initiatives
  • Stay abreast of industry trends and advancements in data science and retail analytics

Qualifications and Experience 

  • Advanced degree in Data Science, Statistics, Computer Science, or a related field preferred, but not required
  • Proven experience in data science, preferably in the retail or e-commerce sector
  • Proven experience in developing and maintaining data models
  • Strong expertise in statistical analysis, machine learning, and predictive modeling
  • Proficiency in programming languages including SQL, Python
  • Proficiency with data visualization (we use Tableau and MetaBase)
  • Experience with big data tools and platforms (we use Google BigQuery)
  • Excellent communication and collaboration skills.

 Perks and Compensation

At Locally, we foster a casual yet rewarding work environment that prioritizes mission-driven, high-growth opportunities. Our team benefits from:
● A competitive salary complemented by a Bonus and Stock Option Plan.
● Comprehensive benefits including Medical, Dental, and Retirement Plan.
● Flexible remote work (100% remote team, with a strong presence on Slack).

#li-remote

#li-JM1

 

Thank you for considering this opportunity.  Funded.club Senior Recruiters work exclusively with Startups and are in direct communication with hiring managers and founding team members.

Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

Average salary estimate

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

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Data Scientist - Retail/eCommerce, Funded.club

At Locally, we’re on a mission to transform the way people experience shopping. As the Lead Data Scientist in the Retail/eCommerce sector, you'll have the chance to shape how we analyze the data that drives over 30 million unique shoppers every month. This fully remote position allows you to bring your expertise in data science to a purpose-driven team committed to revitalizing local economies by connecting consumers with neighborhood retailers. Your role will involve diving deep into complex data sets, revealing customer preferences, market trends, and driving the development of predictive models to enhance marketing strategies. You’ll collaborate with diverse teams to ensure that insights translate into actionable strategies, all while building powerful visualization tools that communicate findings effectively to stakeholders. This position not only offers a chance to make an impactful contribution within an innovative company but also allows for professional growth in a supportive environment that highly values your expertise. If you have a strong background in data science within the retail or e-commerce industries and are eager to make a meaningful difference, we’d love to hear from you at Locally!

Frequently Asked Questions (FAQs) for Lead Data Scientist - Retail/eCommerce Role at Funded.club
What responsibilities does the Lead Data Scientist at Locally have?

The Lead Data Scientist at Locally is responsible for developing data science and analytics infrastructure, analyzing complex datasets, and creating customer-facing analytics tools. This role also involves developing predictive models, collaborating with cross-functional teams, and presenting insightful findings to stakeholders.

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What qualifications do I need to apply for the Lead Data Scientist position at Locally?

Locally seeks candidates with an advanced degree in Data Science, Statistics, or Computer Science preferred, along with proven experience in data science, especially in retail or eCommerce. Strong skills in statistical analysis, machine learning, and proficiency in SQL and Python are essential.

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How does the Lead Data Scientist contribute to Locally's mission?

The Lead Data Scientist plays a crucial role in analyzing data trends and customer behavior, which drives strategic initiatives at Locally. Their insights help enhance local retail experiences through data, ultimately supporting the mission of empowering local economies.

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What tools does Locally use for data visualization?

At Locally, the Lead Data Scientist will utilize tools like Tableau and MetaBase for data visualization. Familiarity with these platforms is advantageous for anyone looking to excel in this role.

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What kind of work environment can I expect as a Lead Data Scientist at Locally?

Locally offers a casual yet mission-driven work environment, emphasizing high-growth opportunities and remote flexibility. The team collaborates closely via Slack, allowing for a supportive and connected atmosphere.

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Common Interview Questions for Lead Data Scientist - Retail/eCommerce
Can you explain a time when you uncovered a significant insight from data analysis?

When answering this question, structure your response to highlight the situation, your analysis process, and the outcome. Emphasize the tools used and how your insights drove strategic decisions.

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What machine learning algorithms are you most proficient in?

Focus on algorithms relevant to retail and eCommerce, explaining why you favor certain models. Discuss your practical experience with these algorithms and how they've been applied to solve real business problems.

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How do you prioritize tasks when working on multiple data projects?

Discuss your time management strategies, emphasizing tools and techniques that help you stay organized. Mention any frameworks you use to determine project impact and urgency.

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Describe your experience with data visualization tools.

Provide specific examples of how you've used tools like Tableau or MetaBase to present data. Highlight your understanding of best practices in storytelling with data and how those visuals enhanced decision-making.

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How do you stay updated on the latest trends in data science and retail analytics?

Mention industry resources like journals, webinars, and conferences. Discuss specific trends you've recently followed and how they might apply to your role at Locally.

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What statistics do you find the most impactful when analyzing eCommerce data?

Identify key performance indicators (KPIs) you track, such as conversion rates, customer lifetime value, or cart abandonment rates. Explain why these metrics are relevant to your analysis.

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Can you discuss a failure you faced in a data-driven project and what you learned from it?

Be honest about a specific challenge, focusing on the lessons learned rather than the failure itself. Showcase your ability to adapt and improve processes based on insights from previous experiences.

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How would you communicate complex data findings to non-technical stakeholders?

Describe your approach to simplifying complex analyses. Provide examples of how you’ve tailored your communication style to engage different audiences effectively.

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What experience do you have with big data platforms?

Discuss familiarity with platforms like Google BigQuery. Provide examples of how you’ve leveraged big data tools for insights and your understanding of challenges and best practices in their use.

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What motivates you to work in data science within the retail sector?

Share your personal connection to retail and eCommerce. Highlight your passion for data-driven decision-making and your desire to contribute positively to local economies, aligning your motivation with Locally's mission.

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Full-time, remote
DATE POSTED
December 9, 2024

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