Lead Data Scientist Expert

4 days ago


New Orleans, Louisiana, United States Funded Full time
Revolutionize Retail with Data Science

About Locally

We are a pioneering force in 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. We partner with prominent names like Yeti, Trek, Sonos, Dicks, REI, Crocs, and Brooks Running, creating a significant impact.

We captivate over 30 million unique shoppers monthly, generating over 2 billion annual engagements worldwide.

We're seeking an 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'll play a pivotal role in analyzing complex data sets and building tools that extract meaningful insights, inform business decisions, and contribute to our strategic direction.

Key Responsibilities:

  • Develop and maintain our data science and analytics infrastructure, tools, and best practices
  • Analyze large, complex data sets to uncover hidden patterns, market trends, and customer preferences
  • Build 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

Requirements:

  • Proven experience in data science in the retail or e-commerce sector
  • Advanced degree in Data Science, Statistics, Computer Science, or a related field is preferred but not required
  • Demonstrated expertise in developing, implementing, and maintaining scalable data models
  • Strong proficiency in statistical analysis, machine learning, and predictive modeling techniques
  • Advanced expertise in SQL, including writing and optimizing complex queries, database design, performance tuning, and handling large-scale datasets
  • Expertise in Python for data analysis, statistical modeling, machine learning, and process automation
  • Hands-on experience using Metabase for data visualization and insights delivery
  • Experience working with Google Cloud Platform (GCP) and leveraging its tools for data management and analysis
  • Demonstrated proficiency with data tools like BigQuery, Cloud Composer, and Apache Airflow for data processing, orchestration, and workflow automation
  • Excellent communication and collaboration skills, with the ability to convey technical concepts to both technical and non-technical audiences

Compensation and Benefits

At Funded, we offer a competitive salary complemented by a bonus and stock option plan. Our benefits include comprehensive medical, dental, and retirement plans. As a remote worker, you'll enjoy flexible work arrangements and a strong presence on Slack.


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