Job Description
Job Description:Client is 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.
- Candidates 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 client’s team
Candidate will 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.
- 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 to 5 skills - Master’s 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 candidates 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.
Pay Range: $60 - $66 Hourly on W2
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.
Job Tags
Hourly pay, Full time, Contract work,