Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
About the role
- Data Scientist performing advanced analytics to inform strategic decisions at Vanguard. Utilizing data science techniques to drive innovation across various business domains.
Responsibilities
- Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
- Develops queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses.
- Brings structure to requests and translates requirements into an analytic approach.
- Guides test design, research design, and model validation.
- Provides statistical consultation services.
- Serves as the analytics expert on cross-functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
- Prepares and delivers insight presentations and action recommendations.
- Communicates complex analytical findings and implications to business partners.
- Participates in special projects and performs other duties as assigned.
- Designs and develops data mining protocols and analytical models to identify trends and patterns in large-scale datasets.
- Applies emerging data science methodologies and statistical techniques to provide actionable insights across various business domains.
Requirements
- Minimum 5 years of experience in data science, analytics, or statistical modeling roles
- Bachelor’s degree (B.E./B.Tech) in relevant fields such as Analytics, Applied Mathematics, Statistics, Computer Science, or a Master’s degree/Diploma in a related analytical discipline
- Proficiency in data wrangling and transformation using SQL, Python, or R
- Strong understanding of statistical modeling and machine learning techniques
- Experience with tools like Jupyter, SAS, or RStudio
- Hands-on experience in building data mining models, conducting trend analysis, and interpreting complex datasets to support strategic decisions
- Experience in cloud-based environments (AWS, Azure, or GCP)
- Knowledge of big data platforms and frameworks (Hadoop, Spark) is a plus
- Strong communication and visualization skills to translate analytical findings into actionable business insights
- Ability to work cross-functionally and apply analytics to domains such as marketing, operations, or research
Benefits
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Associate Data Scientist at Kyndryl's AI Innovation Hub transforming raw data into actionable insights. Collaborating with senior scientists to develop machine learning models and tackle real business challenges.
Data Scientist at PwC creating AI and machine learning solutions. Working with global teams to address diverse business challenges while mentoring junior members.
Data Scientist at Target responsible for developing and managing predictive algorithms using large - scale data. Collaborating with teams to optimize retail solutions and improve decision - making processes.
Consultant(e) Senior - Data IA au sein de Square Management, intervenant sur des enjeux de transformation pour des clients grands comptes.
Senior Manager, Data Science responsible for advanced analytics methodologies at Numeris. Leading a team to ensure accuracy and reliability of data products and processes.
Data Scientist providing data - driven insights to inform business strategy at Mixpanel. Collaborating with leadership to shape research initiatives and drive positive organizational change.
Senior AI/ML Platform Architect for Instructure building AWS - native infrastructure for AI/ML services, translating needs into scalable architecture.
Lead Analyst driving AI - enabled data capabilities across RCM organization in Hyderabad. Collaborating with interdisciplinary teams for machine learning model development and actionable insights.
Data Science Intern at Ekimetrics supporting marketing effectiveness and strategy with data analysis and modeling techniques. Engage with cross - functional teams and contribute to client deliverables.