Job Title: Analyst Data Science
Duration: 12 months Contract
Location: Plano TX Hybrid 4 day onsite 1 day remote (Sep 2025 onwards)
Interview Process: Two rounds of interviews via MS Teams.
Pay Rate: $66 hourly
JOB DESCRIPTION
What were looking for
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
What youll 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 organizations 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.
Requirements:
Qualifications/ What you bring (Must Haves) Highlight Top 3-5 skills
- Masters degree or higher in a relevant analytical field.
- Highly proficient with SQL
- 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. statsmodels scikit-learn PyTorch TensorFlow etc).
- 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
Added bonus if you have (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) 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 cashflow financial analysis and its implications for business strategy is highly desirable.
Job Title: Analyst Data Science Duration: 12 months Contract Location: Plano TX Hybrid 4 day onsite 1 day remote (Sep 2025 onwards) Interview Process: Two rounds of interviews via MS Teams. Pay Rate: $66 hourly JOB DESCRIPTION What were looking for This role is ideal for someone who thrives ...
Job Title: Analyst Data Science
Duration: 12 months Contract
Location: Plano TX Hybrid 4 day onsite 1 day remote (Sep 2025 onwards)
Interview Process: Two rounds of interviews via MS Teams.
Pay Rate: $66 hourly
JOB DESCRIPTION
What were looking for
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
What youll 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 organizations 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.
Requirements:
Qualifications/ What you bring (Must Haves) Highlight Top 3-5 skills
- Masters degree or higher in a relevant analytical field.
- Highly proficient with SQL
- 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. statsmodels scikit-learn PyTorch TensorFlow etc).
- 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
Added bonus if you have (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) 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 cashflow financial analysis and its implications for business strategy is highly desirable.
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