Experienced Full Stack Data Scientist – Web & Cloud Application Development for a Leading Financial Data and Tools Platform
About the Role
We are seeking an experienced Full Stack Data Scientist to join our team at Yahoo Money, the largest business and financial data and tools platform in the world. As a key member of our team, you will play a critical role in driving business growth by delivering actionable business and customer insights through data-driven research and analysis.
About Yahoo Money
Yahoo Money is a leading platform that provides unparalleled access to data, insights, tools, and unique content to financial investors and savers. With a new leadership team, we have re-committed to building and renewing this essential resource for financial professionals. With 100 million unique users every month, Yahoo Money presents exciting opportunities for brands to tell their stories and connect with customers.
About You
You are a data-driven professional with a passion for information and a hunger for understanding. You possess the technical and analytical skills to explore complex and large datasets, and you excel at communicating insights in ways that resonate with marketing, communications, media, product, and leadership teams. Your data is always 100% accurate and reliable, and your reports are clear, concise, and actionable.
Key Responsibilities
As a Full Stack Data Scientist at Yahoo Money, you will be responsible for:
* Examining client needs and identifying pain points, joy points, and areas for improvement through analysis, behavior, clicks, conversions, channels, and other metrics.
* Building models to gain insights on what drives performance in terms of reach, retention, referral, and revenue growth.
* Creating dashboards and reports that provide analysis and insights, explaining product, marketing, and business trends for senior leadership.
* Illuminating and updating leaders and partners on product performance, plans, and progress towards key metrics.
* Defining data testing plans and developing strategies that help teams iterate quickly and deliver new features for testing and, if successful, rollout to all users globally.
* Focusing the product roadmap on achieving key metrics and making ruthless decisions about what to do (and just as importantly, what not to do).
* Creating and diving deep on customer experiences and competitive knowledge to help teams drive product development and lifecycle.
* Assisting teams in understanding and integrating customer insights, decisions, and preferences – and how these impact the product/testing roadmap to drive growth.
* Building strong relationships with product, design, engineering, and marketing teams and empowering them to launch new development initiatives for testing and emphasis.
* Providing input to product and engineering teams on the impact of product launches: target launch metrics, A/B testing, post-launch metrics.
* Distilling all metrics from measurably significant deviations that will impact reach, retention, referral, and revenue metrics.
* Researching data and monitoring data quality – partnering closely with and providing requirements to the Data Engineering teams that can be acted upon.
* Outlining business issues into questions that can be answered through data analysis, and translating business needs into requirements.
* Planning and leading time-sensitive key analysis projects including philosophy development, analysis, key recommendations, and presentation of findings to Senior Leadership.
Essential Qualifications
* Mastery in Python and SQL
* BS/MS in a highly quantitative field (Software Engineering, Statistics, Math, Research, Data Science)
* Experience working in the financial industry
* Data analysis, producing insights for customer-centric organizations
* Knowledge of query development and data ETL
* Experience with big data technologies like Hive, Hadoop, MapReduce, Flash, etc.
* AI skills, including cluster analysis, brain networks, predictive modeling
* Experience using Statistical methods including correlation analysis, design of experiments, linear and nonlinear regression, calculated regression, inspecting and resampling techniques, time series, and longitudinal analysis.
* Huge experience, capability in, and enthusiasm for Mobile or potentially Web products
* History of proactively setting and completing responsibilities.
* A mix of customer experiences, competitive insight, and technical knowledge
* Shown use of analysis, metrics, and benchmarking to drive decisions
* Phenomenal relational, hierarchical, innovative, and communication skills
* Collaborative person in driving growth results combined with an optimistic attitude
* Strong work ethic and strong guiding principles (integrity, honesty, creativity)
* Issue solver who thinks constantly about ways of moving forward
* Self-motivated, results-driven, and team-oriented leader
* Executioner customer instincts and data sensibilities
* Shown progress in past roles
* Enthusiasm for Yahoo and cool products
Preferred Qualifications
* Experience with cloud-based technologies and platforms
* Familiarity with data visualization tools and techniques
* Strong understanding of machine learning algorithms and techniques
* Experience with agile development methodologies
* Strong understanding of software development life cycles
* Experience with DevOps practices and tools
* Strong understanding of cloud security best practices
* Experience with containerization and orchestration tools
* Strong understanding of cloud cost optimization strategies
What We Offer
* Competitive salary and benefits package
* Opportunity to work with a leading financial data and tools platform
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements and remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
* Opportunities for career advancement and leadership development
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We can't wait to hear from you!
Apply Now
We are seeking an experienced Full Stack Data Scientist to join our team at Yahoo Money, the largest business and financial data and tools platform in the world. As a key member of our team, you will play a critical role in driving business growth by delivering actionable business and customer insights through data-driven research and analysis.
About Yahoo Money
Yahoo Money is a leading platform that provides unparalleled access to data, insights, tools, and unique content to financial investors and savers. With a new leadership team, we have re-committed to building and renewing this essential resource for financial professionals. With 100 million unique users every month, Yahoo Money presents exciting opportunities for brands to tell their stories and connect with customers.
About You
You are a data-driven professional with a passion for information and a hunger for understanding. You possess the technical and analytical skills to explore complex and large datasets, and you excel at communicating insights in ways that resonate with marketing, communications, media, product, and leadership teams. Your data is always 100% accurate and reliable, and your reports are clear, concise, and actionable.
Key Responsibilities
As a Full Stack Data Scientist at Yahoo Money, you will be responsible for:
* Examining client needs and identifying pain points, joy points, and areas for improvement through analysis, behavior, clicks, conversions, channels, and other metrics.
* Building models to gain insights on what drives performance in terms of reach, retention, referral, and revenue growth.
* Creating dashboards and reports that provide analysis and insights, explaining product, marketing, and business trends for senior leadership.
* Illuminating and updating leaders and partners on product performance, plans, and progress towards key metrics.
* Defining data testing plans and developing strategies that help teams iterate quickly and deliver new features for testing and, if successful, rollout to all users globally.
* Focusing the product roadmap on achieving key metrics and making ruthless decisions about what to do (and just as importantly, what not to do).
* Creating and diving deep on customer experiences and competitive knowledge to help teams drive product development and lifecycle.
* Assisting teams in understanding and integrating customer insights, decisions, and preferences – and how these impact the product/testing roadmap to drive growth.
* Building strong relationships with product, design, engineering, and marketing teams and empowering them to launch new development initiatives for testing and emphasis.
* Providing input to product and engineering teams on the impact of product launches: target launch metrics, A/B testing, post-launch metrics.
* Distilling all metrics from measurably significant deviations that will impact reach, retention, referral, and revenue metrics.
* Researching data and monitoring data quality – partnering closely with and providing requirements to the Data Engineering teams that can be acted upon.
* Outlining business issues into questions that can be answered through data analysis, and translating business needs into requirements.
* Planning and leading time-sensitive key analysis projects including philosophy development, analysis, key recommendations, and presentation of findings to Senior Leadership.
Essential Qualifications
* Mastery in Python and SQL
* BS/MS in a highly quantitative field (Software Engineering, Statistics, Math, Research, Data Science)
* Experience working in the financial industry
* Data analysis, producing insights for customer-centric organizations
* Knowledge of query development and data ETL
* Experience with big data technologies like Hive, Hadoop, MapReduce, Flash, etc.
* AI skills, including cluster analysis, brain networks, predictive modeling
* Experience using Statistical methods including correlation analysis, design of experiments, linear and nonlinear regression, calculated regression, inspecting and resampling techniques, time series, and longitudinal analysis.
* Huge experience, capability in, and enthusiasm for Mobile or potentially Web products
* History of proactively setting and completing responsibilities.
* A mix of customer experiences, competitive insight, and technical knowledge
* Shown use of analysis, metrics, and benchmarking to drive decisions
* Phenomenal relational, hierarchical, innovative, and communication skills
* Collaborative person in driving growth results combined with an optimistic attitude
* Strong work ethic and strong guiding principles (integrity, honesty, creativity)
* Issue solver who thinks constantly about ways of moving forward
* Self-motivated, results-driven, and team-oriented leader
* Executioner customer instincts and data sensibilities
* Shown progress in past roles
* Enthusiasm for Yahoo and cool products
Preferred Qualifications
* Experience with cloud-based technologies and platforms
* Familiarity with data visualization tools and techniques
* Strong understanding of machine learning algorithms and techniques
* Experience with agile development methodologies
* Strong understanding of software development life cycles
* Experience with DevOps practices and tools
* Strong understanding of cloud security best practices
* Experience with containerization and orchestration tools
* Strong understanding of cloud cost optimization strategies
What We Offer
* Competitive salary and benefits package
* Opportunity to work with a leading financial data and tools platform
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements and remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
* Opportunities for career advancement and leadership development
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We can't wait to hear from you!
Apply Now