# Data Scientist at Merge API Integration Sandbox

> United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Amergeapiintegrationsandbox%3A7602093003 (read 2026-11-10).

## Facts (observed)

- Company: [Merge API Integration Sandbox](https://alderhq.app/companies/merge-api-integration-sandbox)
- Location text: Newyork; New York
- Where it can be done from (inferred): United States (evidence: "Location: Newyork; New York")
- Posted: 2026-01-23 (291 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/mergeapiintegrationsandbox/jobs/7602093003
- Skills listed (inferred): Python, AWS, GCP, Azure, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 60): p25 $109k, median $153k, p75 $197k

## Description (the employer's text)

### 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
### Footer for a Job Post

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amergeapiintegrationsandbox%3A7602093003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.