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Mercury is looking for a Senior Data Scientist to join its dynamic Data Science team. This role emphasizes the application of analytics in product development to accelerate the adoption of Mercury's innovative solutions. The ideal candidate will be responsible for deriving valuable data insights and collaborating with multiple teams, including engineering, marketing, and design, to inform investment and strategic decisions for Mercury's future.
In the role of Senior Data Scientist, you will:
Partner with Product Stakeholders: Work alongside other cross-functional teams to identify business-critical questions, perform analyses, translate insights into actionable recommendations, and communicate findings clearly across different audience levels.
Metric Definition and Analysis: Define and analyze metrics that not only inform tactical decisions but also set the overall strategy to monitor product health effectively. Your analysis will allow teams to make data-driven decisions that promote the company’s objectives.
Educate Teams: Act as a mentor to educate team members on optimal data usage and best practices for decision-making relating to prioritization, experimentation, and data models.
Data Analysis Techniques: Utilize a variety of statistical techniques and exploratory methods, such as A/B testing, cohort analysis, regression modeling, and machine learning, to extract actionable insights from data sets.
Collaborate for Infrastructure Improvements: Work with Data Engineers and other Data Scientists to construct and enhance data pipelines, tools, and infrastructure. This aspect ensures streamlined data collection, processing, and integrity management of data assets.
Influence Business Decisions: Leverage your expertise to encourage engineering, design, and business teams to adopt data-driven recommendations. Your analysis will play a vital role in enhancing customer experiences and generating revenue for Mercury.
Prospective candidates should meet the following qualifications to excel in this role:
Experience: A minimum of 5 years in analyzing large data sets with a strong impact on business outcomes.
Technical Proficiency: Must be fluent in SQL and other relevant statistical programming languages, such as Python or R, along with experience in building scalable data pipelines and ETL processes using DBT.
Analytical Mindset: A proactive approach to identifying questions that can lead to meaningful analyses, combined with the ability to present your case to various stakeholders, including senior leadership.
Organizational Skills: Excellent organizational capabilities and communication skills are necessary. You will need to prioritize and manage projects effectively to support multiple stakeholders with diverse quantitative skill levels.
Familiar with Analytical Models: Knowledge of the analytical models essential for supporting product teams.
The current hiring teams within Mercury include:
Experiences Team: Focuses on building new user experiences, driving business growth, and ensuring the success of new businesses on Mercury.
Finance Team: Responsible for creating robust forecasts and facilitating data-centric decision-making, proactively using advanced analytics and predictive modeling techniques.
Banking Team: Involves supporting and optimizing Mercury's banking products, monitoring partnerships, and enhancing customer experience through data insights.
Mercury offers a competitive total rewards package, which includes:
Base Salary and Equity: Competitive base salary ranging for US employees between $173,600 – 204,200 USD and for Canadian employees between CAD 158,000 – 185,800.
Comprehensive Benefits: Beyond salary, benefits may include equity options and a variety of additional perks, ensuring a well-rounded compensation package.
Diversity Commitment: Mercury is dedicated to fostering a diverse workplace. It is proud to be an Equal Employment Opportunity employer, accepting candidates without regard to race, color, religion, or any legally protected characteristic.
Accommodations for Applicants: Mercury is committed to making reasonable accommodations during the recruitment process for applicants with disabilities or special needs.
Candidates interested in joining Mercury as a Senior Data Scientist should prepare their applications, emphasizing relevant experience and how they can contribute to the company's mission. Expect a thorough recruitment process to ensure a fit for both the candidate and the organization.
This opportunity represents a significant chance for a seasoned data scientist to impact Mercury's growth and evolution within the financial technology landscape.
This job offer was originally published on jobicy.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
