Data Scientist
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Salary
$100k – $175k per year
Location
Remote (United States)
Seniority
Junior · 2+ years exp
Employment
Full-Time
First seen by Alion on Nov 11, 2026.
Overview
Company
Impact
Profile match
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.
We are seeking a skilled Data Scientist to join our team. The role involves statistical analysis, machine learning, and delivering data-driven insights to support business decisions.
Key responsibilities
- Collect, clean, process, and analyze large datasets.
- Develop and implement machine learning models and algorithms.
- Perform statistical analysis and hypothesis testing.
- Build predictive models to identify trends and business opportunities.
- Develop data visualizations and analytical reports.
- Collaborate with Data Engineers, Business Analysts, and Engineering teams.
- Present analytical findings and actionable recommendations to stakeholders.
Required qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related field.
- 2-5 years of experience in Data Science or a related field.
- Strong programming skills in Python and experience with NumPy, Pandas, Scikit-learn.
- Solid understanding of statistics, probability, and machine learning algorithms.
- Proficiency in SQL and data visualization techniques.
Nice to have
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of NLP, Generative AI, and A/B testing.
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