Analyst, Data Science

Kaygen, Inc.; Plano (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading company in Texas is seeking a Data Science Analyst for a 12-month project. The role involves developing predictive models, cleaning data, and creating visualizations to assist in data-driven decision-making. Candidates should possess a Master's degree and strong skills in SQL and Python. This position offers the opportunity to work closely with business partners and contribute to impactful data initiatives.

Qualifications

• Proven experience using statistical and machine learning techniques.
• Hands-on experience with cloud-based machine learning platforms.

Responsibilities

• Develop and implement predictive and prescriptive models.
• Extract, manipulate, and clean data from diverse sources.
• Create clear data visualizations for stakeholders.

Skills

SQL

Python

Problem Solving

Data Visualization

Education

Master’s degree or higher in a relevant analytical field

Tools

Pandas

NumPy

GitHub

AWS SageMaker

Azure ML

Job description

2 days ago Be among the first 25 applicants

Direct message the job poster from Kaygen, Inc.

Looking for only W2 candidate (USC/GC/EADs)

Note: Only Local candidate.

Analyst, Data Science

Duration: 12 months

Your responsibilities:

1. Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
2. Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
3. Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques to address key business challenges and deliver actionable insights.
4. Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
5. Efficiently transition models from development to production within the organization’s existing cloud ecosystem.
6. Contribute to software development within a Python environment.
7. Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
8. Stay updated with the latest industry trends and tools, integrating this knowledge to improve methodologies and solutions.

Requirements: Must-Have:

• Master’s degree or higher in a relevant analytical field.
• Highly proficient with SQL.
• Hands-on experience with software development using Python, including Pandas and NumPy.
• Proven experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience using statistical or machine learning frameworks to solve real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow).
• Strong knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
• Proactive approach to identifying problems and developing innovative solutions.
• Experience with version control in GitHub.

Preferred:

• Familiarity with CI/CD practices to streamline model deployment and code management.
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML).
• Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects.
• Capability to replace and bridge existing legacy infrastructure and processes.
• Experience with Snowflake, Netezza, or Microsoft SQL environments.
• Experience with SAS programming language.
• Understanding of cash flow financial analysis and its business implications.