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Salary
≈ $113k – $246k per year (Estimated)
Location
In office (New York)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jan 23, 2026. MergeAPI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
MergeAPI is a pre-launch email marketing service for software developers that lets web applications send bulk marketing email using the same templates they already use, such as Jinja2, ERB and Handlebars. The product promises unsubscribe management, audience segmentation for marketing teams and webhooks that call back to customer servers to fetch fresh user data or interrupt sends, and its site still shows it as launching soon with access by contact only. No real hiring is attributable to MergeAPI itself: the job board linked to this record is a Greenhouse integration sandbox filled with placeholder and test postings.

Job Title: Data Scientist

Location: [Add Location / Remote]

Experience: [X-Y years]

Department: Data & Analytics / AI

Employment Type: Full-Time

Role Overview

We are seeking a skilled Data Scientist to analyze complex datasets, build predictive models, and deliver actionable insights. The ideal candidate has strong statistical knowledge, hands-on ML experience, and a passion for solving real-world business problems using data.

Key Responsibilities

  • Collect, clean, and preprocess structured and unstructured datasets
  • Perform Exploratory Data Analysis (EDA) to identify patterns and insights
  • Build, test, and deploy machine learning models (classification, regression, clustering, NLP, etc.)
  • Develop statistical models and forecasting solutions
  • Create dashboards, reports, and visualizations for business stakeholders
  • Collaborate with engineering, product, and business teams on data-driven initiatives
  • Deploy ML models using APIs or cloud services; monitor model performance
  • Document methodologies, workflows, and insights clearly

Required Skills

Technical Skills

  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn) or R
  • Solid understanding of statistics, probability, and linear algebra
  • Experience with machine learning algorithms and model optimization
  • Proficiency in SQL for querying and data manipulation
  • Knowledge of data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Understanding of model deployment and MLOps basics (preferred)

Soft Skills

  • Strong analytical thinking and problem-solving skills
  • Ability to communicate technical insights in simple terms
  • Team collaboration and stakeholder management skills
  • Attention to detail and high standard of accuracy

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