Senior Data Scientist

Tech Genius inc; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Tech Genius inc is hiring a senior data scientist/ML engineer to lead quantitative analytics, building end-to-end ML solutions from data extraction to deployment and monitoring. You will collaborate with cross-functional teams to deliver impactful models.

The role requires a Master’s or PhD in a relevant field, 5+ years of experience, strong Python skills, SQL and visualization tool experience, and cloud platform familiarity (Databricks, Azure). Airline/domain experience is a plus.

Qualifications

• Master’s or PhD in data science, CS, statistics, or a related field.
• 5+ years of experience in quantitative disciplines (e.g., data science, ML engineering).
• Experience with Python programming.
• Experience with data extraction, cleaning, and analysis.
• Strong knowledge of statistical and ML techniques.

Skills

Python programming

Data analysis

Statistical methods

Machine learning techniques

Communication

Feature engineering

Team collaboration

Education

Master's or PhD in Data Science, Computer Science, Statistics, or related field

Tools

SQL

Tableau

Power BI

Databricks

Spark ML pipelines

MLflow

CI/CD

Azure

Job description

Minimum Qualifications Education & Prior Job Experience

Master s/PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)

Experience with Python programming language

Practical experience with data extraction, cleaning, and analysis

Depth of knowledge in statistical and machine learning techniques

Preferred qualifications Education & Prior Job Experience

10+ years of experience in a technical professional environment, in addition to the minimum requirements

Experience with SQL and data visualization (Tableau, PowerBI)

Practical experience designing, building and deploying machine learning models

Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)

Domain knowledge in the airline industry

Experience working in a consulting role

Skills, Licenses & Certifications

Ability to effectively communicate both verbally and written with all levels within the organization

Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving

Ability to view data from different angles to employ feature engineering techniques to better represent models

Ability to work on a diverse team with diverse skillsets

Top 3 Must Have Skills:

1. 1.MS or PhD in Data Science, Computer Science, Statistics, or related field
2. 2.Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
3. 3.Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)

Nice to Have Skills and Experience:

• Experience with Databricks / Spark-based ML pipelines
• Proficiency in SQL and working with large-scale datasets
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)