Experienced Senior Data Scientist for Strategic Business Growth and Development – Part Time Remote Opportunity with Yahoo

Introduction to Yahoo and the Role

Yahoo, a leading global technology company, is seeking an experienced Senior Data Scientist to join its team on a part-time remote basis. As a Senior Data Scientist, you will play a crucial role in driving business growth and development by providing actionable insights and recommendations to stakeholders. With a strong focus on data-driven decision-making, you will work closely with cross-functional teams to identify opportunities, optimize processes, and drive revenue growth.

About Yahoo Finance

Yahoo Finance is the largest business and financial data and tools application/website in the world, with unparalleled access to data, insights, tools, and exclusive article content. With a new leadership team in place, we are committed to rebuilding and renewing this essential, trusted resource for investors and savers. With 100 million unique users every month, Yahoo Finance presents tremendous opportunities for brands to tell their stories and connect with customers.

A Little About You

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about data analysis, business growth, and development. You should have a strong technical background, excellent communication skills, and the ability to work effectively with cross-functional teams. If you have a proven track record of driving business growth through data-driven insights and recommendations, we want to hear from you.

Key Responsibilities

• Analyze customer needs and identify/target issues, pain points, and joy points (via analysis, behaviors, clicks/conversions, channels, etc.)
• Build models to gain insights on what drives performance in terms of reach, retention, referral, and revenue growth
• Create dashboards and reports that provide analysis and commentary, explaining product, marketing, and business trends for executive reporting
• Inform and update executives and stakeholders on product performance, plans, and progress towards metrics
• Define data testing plans and create strategies that help teams iterate quickly and launch new features for testing and, if successful, rollout to all users globally
• Focus the product roadmap around achieving the metrics that matter and making ruthless decisions about what to do (and nearly as important what not to do)
• Develop and dive deep on consumer experiences and competitive intelligence to help teams drive product innovation and process
• Help teams understand/absorb customer insights, decisions, and preferences - and how these impact the product/testing roadmap to drive growth
• Build strong partnerships with product, design, engineering, and marketing teams and enable them to launch new growth initiatives for testing/emphasis
• Provide feedback to product and engineering teams on the impact of product launches: target launch metrics, A|B testing, post-launch metrics
• Distill all metrics from statistically significant deviations that will impact reach, retention, referral, and/or revenue metrics
• Research data and monitor data quality - partner closely with and provide requirements to the Data Engineering teams that can be acted upon
• Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements
• Design and lead time-sensitive strategic analysis projects including methodology development, analysis, key recommendations, and presentation of findings to Senior Management

Essential Qualifications

• Mastery in Python and SQL
• BS/MS in a highly quantitative field (Computer Science, Statistics, Math, Analytics, Data Science)
• Experience working in the financial sector
• Data analysis, generating insights for consumer-centered businesses
• Knowledge of query development and data ETL
• Experience with big data technologies like Hive, Hadoop, MapReduce, Spark, etc.
• Machine learning skills, including cluster analysis, neural networks, predictive modeling
• Experience using statistical techniques including correlation analysis, design of experiments, linear and nonlinear regressions, logistic regression, sampling and resampling techniques, time series, and longitudinal analysis

Preferred Qualifications

• Significant experience, expertise in, and passion for Mobile and/or Web products
• History of proactively establishing and completing tasks
• Mix of customer experiences, competitive intelligence, and technical knowledge
• Demonstrated use of analysis, metrics, and benchmarking to drive decisions
• Exceptional interpersonal, organizational, creative, and communication skills
• Collaborative person in driving growth results combined with a positive attitude
• Strong work ethic and strong guiding principle (integrity, honesty, creativity)
• Problem solver who thinks constantly about ways of moving forward
• Self-motivated, results-driven, and team-oriented leader
• Killer consumer instincts and data sensibilities
• Demonstrated success in previous roles
• Passion for Yahoo and cool products

Career Growth Opportunities and Learning Benefits

At Yahoo, we are committed to helping our employees grow and develop their careers. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in data analysis, machine learning, and business growth. You will also have access to training and development programs, mentorship, and career coaching to help you achieve your career goals.

Work Environment and Company Culture

Yahoo is a dynamic and fast-paced company that values innovation, creativity, and collaboration. Our company culture is built on a foundation of integrity, honesty, and respect for our employees, customers, and partners. We believe in fostering a positive and inclusive work environment that encourages employees to think outside the box, take risks, and strive for excellence. As a remote employee, you will be part of a global team that is connected through technology and shared goals.

Compensation, Perks, and Benefits

We offer a competitive compensation package, including a hourly rate of $25, as well as a range of perks and benefits that include flexible working hours, remote work options, and access to cutting-edge technology and tools. You will also have the opportunity to participate in our employee recognition and reward programs, which recognize and reward outstanding performance and contributions to the company.

Conclusion

If you are a motivated and experienced Senior Data Scientist who is passionate about data analysis, business growth, and development, we encourage you to apply for this exciting opportunity. As a part-time remote employee, you will have the flexibility to work from anywhere, while still being part of a dynamic and fast-paced company that values innovation, creativity, and collaboration. Don't miss out on this chance to join our team and contribute to the growth and success of Yahoo. Apply now!