Cayuse Holdings · 3 days ago
Data Scientist / Big Data Engineer
Austin, TX
Full-time
Hybrid
Entry, Mid, Senior Level
$120K/yr - $175K/yr
1+ years expCayuse Holdings is a company focused on providing innovative civil services, and they are seeking a Data Scientist / Big Data Engineer to leverage data for business insights. The role involves data mining, implementing machine learning algorithms, and developing analytics solutions to improve business processes and decision-making.
Finance
Responsibilities
Perform data mining, exploration, and analysis
Design, train, evaluate, and implement machine learning algorithms and predictive models
Work with stakeholders to identify opportunities for improving business processes and addressing current pain points, using data insights, forecasts, and analytics
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business goals
Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models
Evaluate and understand complex issues from business partners and recommend solutions
Work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment
Build, implement, and maintain predictive models throughout their full lifecycle
Identify patterns and trends in data and provide insights to enhance business decision making
Set up and monitor monthly model recalibration process
Generate complex ad-hoc analyses combining disparate concepts or creating new approaches
Design and create new analytic procedures and automation
Other duties as assigned
Qualification
Required
1-3 years of experience in the field or in a related area
4-7 years of experience in the field or in a related area
8 or more years of experience
Demonstrated expertise in constructing distributed machine learning pipeline from scratch
Demonstrated experience performing end-to-end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences
Strong documentation, organizational, and time management skills
Strong verbal and written communication skills to effectively collaborate with team members and stakeholders
Must be able to pass a background check
Experience with machine learning frameworks and techniques, including regression, classification, neural networks, and feature engineering
Experience with Azure ML, Power BI, or similar analytics platforms
Skilled in web scraping, handling large-scale multi-source datasets, and managing ambiguous data environments
Strong knowledge of statistical methods for experimentation (e.g., randomization, t-tests, and confidence intervals)
Proven track record of managing and delivering high-volume analytics or experimentation projects across multiple stakeholders
Ability to translate analytical insights into actionable business recommendations
Strong analytical and problem-solving skills with keen attention to detail
Excellent communication and collaboration skills, with the ability to effectively interact with both technical and business stakeholders
Preferred
Bachelor's or master's degree in Computer Science, Information Technology, Data Science or related field
Proficiency in Python (pandas, numpy, scipy) and SQL for data manipulation, analysis, and pipeline development
Knowledge of data science toolkits such as NumPy, Pandas and MatLab
Experience with Azure and Databricks platforms
Benefits
Medical, Dental and Vision Insurance; Wellness Program
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability options
Basic Life and AD&D Insurance (Company Provided)
Voluntary Life and AD&D options
401(k) Retirement Savings Plan with matching after one year
Paid Time Off
Company
Cayuse Holdings
Cayuse Holdings is an economic enterprise that specializes in providing sourcing and diversity solutions.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase