Data Scientist (US)

EdgeQ Technologies · Python · SQL · Tableau · Power BI · 22 days ago

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Salary

$100k – $175k per year

Location

In office (Atlanta)

Seniority

Junior · 2+ years exp

Employment

Full-Time

First seen by Alion on Oct 6, 2026.

Overview

Company

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Profile match

EdgeQ Technologies

Founded in 2026, EdgeQ Technologies is a software development, staffing, and business services provider headquartered in Anantapur, Andhra Pradesh, India. The company delivers an integrated suite of technology and workforce solutions for startups and enterprises across domestic and international markets. Its core offerings span custom web and mobile application engineering, digital marketing, and business software products - including applicant tracking systems (ATS), custom CRMs, payroll, and billing platforms - alongside IT and non-IT recruitment, talent placement, and business process outsourcing (BPO) operations.

edgeqtechnologies.com · HQ: Anantapuram, India · 501-1000 employees · Est. 2026

Tech stack of EdgeQ Technologies

We are seeking a skilled Data Scientist to join our team and drive data-driven decision making. The role involves analyzing complex datasets, building machine learning models, and delivering actionable insights.

Key responsibilities

Analyze large and complex datasets to identify trends and business opportunities.
Develop, train, and evaluate machine learning models.
Use Python and SQL for data extraction, analysis, and modeling.
Apply statistical methods to solve business and technical problems.
Perform data cleaning, preprocessing, feature engineering, and exploratory analysis.
Create dashboards, reports, and visualizations to communicate insights.
Collaborate with engineering, product, and analytics teams to translate requirements into data solutions.

Required qualifications

2-5 years of professional experience in data science, machine learning, or analytics.
Proficiency in Python programming.
Advanced SQL skills and experience with relational databases.
Strong foundation in statistics and machine learning concepts.
Experience with data preprocessing, feature engineering, and model evaluation.

Nice to have

Experience with TensorFlow or PyTorch.
Knowledge of NLP, generative AI, or predictive analytics.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with data visualization tools like Tableau or Power BI.

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