Calance

Sr. Data Scientist/Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist/Analyst, 12-month contract, hybrid in Plano, TX, with a pay rate of $60.00 - $66.00 per hour. Requires a Master's degree, proficiency in SQL and Python, and experience in predictive modeling and data visualization.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
528
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πŸ—“οΈ - Date
October 4, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Plano, TX 75024
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🧠 - Skills detailed
#AWS SageMaker #NumPy #Cloud #Python #SageMaker #SAS #Visualization #Programming #Microsoft SQL #Azure #Time Series #GitHub #SQL (Structured Query Language) #Predictive Modeling #Data Analysis #Strategy #Version Control #PyTorch #Consulting #Snowflake #Statistics #Deployment #Neural Networks #AWS (Amazon Web Services) #Model Deployment #Regression #TensorFlow #Logistic Regression #Pandas #Data Science #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Scala #BI (Business Intelligence)
Role description
FOR IMMEDIATE DETAILS about this position, please feel free to contact ANY of US: Recruiting Contacts: Kiana Arevalo (469) 325-3712 or (949) 991-8285 // KArevalo@calance.com Sumit Kumar (469) 935-4505 // Sumit.Kumar@calance.com Michell Casey (800) 732-4680 x715 // MCasey@calance.com ======================================================= β€’ β€’ We will NOT accept 3rd Party (C2C) Contractors β€’ β€’ ======================================================= JOB DETAILS: Position: Data Scientist/Analyst JOB REF#: 43869 - 1445809 Duration: 12 Months (Contract) Location: HYBRID - Plano, TX 75024 Pay Rate: $60.00 - $66.00 per hour (W2 ONLY) HYBRID: Will work ONSITE 4 days per week (LOCAL CANDIDATES ONLY) This role is ideal for someone who thrives at the intersection of computational science, data analysis, and business consulting. The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. They should also be proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production. The ability to present results and recommendations effectively to business partners and leaders is essential. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team RESPONSIBILITIES INCLUDE: 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. Software development with a Python environment 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. REQUIRED SKILLS/EXPERIENCE: Education: Master’s degree or higher in a relevant analytical field. Highly proficient with SQL and programming in Python (building models) Experience manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights Hands-on experience with software development using Python Pandas, and Numpy Experience solving problems using a variety of statistical and machine learning techniques. Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., stats models, Scikit-learn, PyTorch, TensorFlow, etc). 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. Experience with version control in GitHub Desired Skills/Nice To Have's: 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) to leverage scalable computing resources and tools. Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change. Capability to replace and bridge existing legacy infrastructure and processes. Experience with the Snowflake, Netezza, or Microsoft SQL environment Experience with SAS programming language Understanding of cash flow financial analysis and its implications for business strategy is highly desirable ========================================== ========================================== Calance Consultant Benefits Offerings: EPO/PPO Medical Plans HMO/PPO Dental programs - Vision - VSP (Vision Plan Summary) 401K Retirement vesting program (VOYA) Paid Bi-Weekly/Direct Deposit Flex Spending Plan Voluntary Life, AD&D, STD or LTD plans