Data Analyst/Scientist

Calance - Plano, TX

Full-time - Mid Level

Hybrid - Plano, TX

Professional, Scientific, and Technical Services

About the position

The Data Scientist/Analyst position at Calance US is a contract role focused on leveraging computational science and predictive modeling to drive business decisions. The ideal candidate will be responsible for data manipulation, model development, and transitioning models to production, while collaborating with business partners to extract actionable insights from data.

Responsibilities

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

Requirements

• 2+ years of experience as a Data Science Analyst with SQL and Python coding, along with Predictive Modeling, GitHub.
• Master's Degree in a relevant analytical field (Mathematics, Statistics, Data Science, Physics, Science).
• Hands-on experience building and optimizing data solutions using Python.
• Experience solving problems using a variety of statistical and Machine Learning (ML) techniques.
• Hands-on experience using Statistical or Machine Learning frameworks (e.g., Stats models, Scikit-learn, PyTorch).
• Knowledge of methods such as Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multi variate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
• Proactive approach to identifying problems and developing innovative solutions.

Nice-to-haves

• Experience with version control systems such as GitHub, and familiarity with CI/CD practices.
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML).
• Demonstrated ability to lead through influence and navigate complex cross-departmental projects.
• Capability to replace and bridge existing legacy infrastructure and processes.

Benefits

• AD&D insurance
• Disability insurance
• Health insurance
• Dental insurance
• 401(k)
• EPO/PPO Medical Plan (Cigna)
• HMO/PPO Dental programs (Cigna)
• Vision - VSP (Vision Plan Summary)
• 401K Retirement vesting program
• Paid Bi-Weekly/Direct Deposit
• Flex Spending Plan
• Voluntary Life, AD&D, STD or LTD plans