ecoATM/Gazelle is hiring a Senior Staff Data Scientist

ecoATM/Gazelle is hiring a Senior Staff Data Scientist to lead data science initiatives, develop machine learning models, and help shape the company's data-driven strategy. You will report directly to the SVP of Data & Analytics.

What You'll Do

• Lead the design, development, and deployment of machine learning models across domains like customer segmentation, recommendation systems, and fraud detection.
• Conduct exploratory data analysis to uncover key trends and insights from structured and unstructured datasets.
• Utilize advanced statistical and machine learning techniques such as regression, clustering, time series analysis, and deep learning.
• Work closely with cross-functional teams to understand data needs and provide actionable insights.
• Mentor and guide junior data scientists on best practices, model development, and data exploration.
• Collaborate with data engineers to build and optimize data pipelines for efficient processing, storage, and retrieval.
• Create clear data visualizations to communicate complex results to non-technical stakeholders.
• Stay current with data science, machine learning, and AI advancements, integrating new techniques into projects.
• Contribute to strategic decision-making by transforming data insights into business recommendations.

What We're Looking For

• A master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
• At least 5-7 years as a Data Scientist with a proven track record of deploying models in production.
• Strong experience with data manipulation, statistical analysis, and machine learning algorithms.
• Proficiency in Python, R, or Scala.
• Strong understanding of machine learning libraries like scikit-learn, TensorFlow, PyTorch.
• Experience with big data tools and platforms like Hadoop, Spark, Hive.
• Expertise in SQL for querying databases and data wrangling.
• Familiarity with cloud platforms (AWS, GCP, Azure) and tools for model deployment.
• Experience with A/B testing, experimentation design, and Causal inference.
• A strong statistical background and ability to apply statistical models to real-world business problems.
• Ability to translate business problems into technical solutions and communicate complex concepts clearly.
• Strong communication, presentation, leadership, and mentoring capabilities.
• Ability to work in a fast-paced, collaborative, and evolving environment.

Nice to Have

• Experience with deep learning frameworks like Keras, TensorFlow, or PyTorch.
• Familiarity with NLP (Natural Language Processing) and computer vision techniques.

Technical Stack

• Languages: Python, R, Scala
• ML Libraries: scikit-learn, TensorFlow, PyTorch, Keras
• Big Data: Hadoop, Spark, Hive
• Databases: SQL
• Cloud Platforms: AWS, GCP, Azure

Team & Environment

You will be a key member of the Data & Analytics team, reporting directly to the SVP of Data & Analytics.

Benefits & Compensation

• Base pay offered may vary depending on job-related knowledge, skills, and experience.

Work Mode

This is a remote position open to candidates located within the United States.

ecoATM/Gazelle is an Equal Employment Opportunity employer that values diversity and belonging. All applicants are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.