Pinnacle living
Data Scientist
Pinnacle living, Plano, TX
Position: Data Science Analyst
Location: Plano, TX (Hybrid)
12 Months contract
What you'll be doing
Requirements:
Qualifications/ What you bring (Must Haves) - Highlight Top 3-5 skills
Added bonus if you have (Preferred):
Pay Range: $60 - $66 Hourly
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Location: Plano, TX (Hybrid)
12 Months contract
What you'll be doing
- 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:
Qualifications/ What you bring (Must Haves) - Highlight Top 3-5 skills
- Master's degree or higher in a relevant analytical field.
- Hands-on experience building and optimizing data solutions using Python.
- 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., statsmodels, scikit-learn, PyTorch).
- 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.
Added bonus if you have (Preferred):
- Experience with version control systems such as GitHub, and 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.
Pay Range: $60 - $66 Hourly
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.