Overview
On Site
Hybrid
USD 75,024.00 per year
Contract - W2
Skills
Computational Science
Data Analysis
Management Consulting
Microsoft Excel
Project Planning
Analytical Skill
SQL
Software Development
Python
Pandas
NumPy
Problem Solving
scikit-learn
PyTorch
TensorFlow
Logistic Regression
Time Series
Modeling
Statistics
Predictive Modelling
Decision Trees
Version Control
GitHub
Continuous Integration
Continuous Delivery
Management
Cloud Computing
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Snow Flake Schema
Netezza
Microsoft SQL Server
SAS
Cash Flow
Financial Analysis
Business Strategy
Job Details
** The quickest way to be considered for this role is to CALL US directly! Click "Apply On Web" or "Apply Now" to access our Recruiter s contact details and give us a call today! **
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** We will NOT accept 3rd Party (C2C) Contractors **
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Position:Data Scientist/Analyst
JOB REF#:
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:
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
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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
===
** We will NOT accept 3rd Party (C2C) Contractors **
===
Position:Data Scientist/Analyst
JOB REF#:
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:
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.