Data Scientist
Merge API Integration Sandbox
| Company | Merge API Integration Sandbox |
| Category | Data & Analytics |
| Location | Newyork |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Jan 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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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