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Senior Staff Data Scientist

ecoATM is a fast-growing technology company and pioneer in device re-commerce, operating thousands of automated kiosks and an online marketplace to reduce e-waste and expand access to mobile technology. We are seeking an experienced Senior Data Scientist to lead machine learning initiatives, build production models, mentor junior team members, and help shape the company’s data-driven strategy while partnering with cross-functional teams.

Skills

  • Proficiency in Python, R, or Scala
  • Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Experience with big data tools (Spark, Hadoop, Hive)
  • Strong SQL skills for querying and data wrangling
  • Experience deploying models on cloud platforms (AWS, GCP, or Azure)
  • Experience with A/B testing, experimentation design, and causal inference
  • Strong statistical background and applied analytics skills
  • Experience with data visualization and communicating findings to stakeholders

Responsibilities

  • Design, develop, and deploy machine learning models for use cases such as segmentation, recommendations, fraud detection, and predictive analytics
  • Perform exploratory data analysis (EDA) to identify trends and surface actionable insights from structured and unstructured data
  • Apply advanced statistical and machine learning techniques including time series analysis, clustering, regression, and deep learning
  • Collaborate with engineering, product, and business teams to translate needs into data-driven solutions and production features
  • Mentor and guide junior data scientists on best practices for model development, testing, and deployment
  • Work with data engineers to build and optimize robust, scalable data pipelines and model-serving infrastructure
  • Create clear visualizations and presentations to communicate complex results to non-technical stakeholders
  • Research and integrate emerging techniques in ML/AI to continually improve models and processes
  • Contribute to strategic decision-making by turning data insights into business recommendations

Education

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field

Benefits

  • Competitive base pay with short-term and long-term incentive eligibility
  • Remote work flexibility (US-based)
  • Health, dental, and vision benefits (subject to company plan)
  • 401(k) and retirement benefits (subject to plan)
  • Paid time off and holidays
  • Professional development and learning opportunities
  • Inclusive culture focused on sustainability and impact
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$180000 / YEARLY (est.)
min
max
$140000K
$220000K

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
SALARY RANGE
$140,000/yr - $220,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
August 21, 2025
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