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Fynbosys

Fynbosys

8 jobs near Columbus, OH

Fynbosys Inc

Sr. Data Scientist Lead

Mountain View, CA · On-site

Role Overview We are seeking a highly analytical and strategic Data Science professional to drive insights and decision-making across the QuickBooks Desktop ecosystem. This role focuses on customer ...

Fynbosys Inc

iOS Developer

Mountain View, CA

$60.50 - $83.50/hr

HI Senior Engineer iOS Developer Mountain View, CA Experience: • 6+ years of experience developing iOS mobile applications • B.Tech/BE in Computer Science or equivalent work experience • 3+ ...

Fynbosys Inc

Java Fullstack with Angular

Jersey City, NJ

$54.75 - $70.75/hr

Java Fullstack with Angular Required Skills & Experience * Backend: Strong proficiency in Java (8/11/17), Spring Boot, Spring MVC, Hibernate/JPA, RESTful APIs, Microservices. * Frontend: Hands-on ...

Fynbosys Inc

Java Tech Lead

Mclean, VA

Hi Java Tech Lead - Spring Boot & Kafka Job Title- Java Tech Lead Location :Mclean,VA We are seeking a highly skilled Java Tech Lead with strong expertise in Spring Boot and Apache Kafka to lead the ...

Fynbosys Inc

$48.75 - $59.75/hr

Hi Angular Developer Required Skills & Qualifications 10+ years of experience. Technical Skills * Strong experience with: * Angular 8+ / Angular 14+ * TypeScript * JavaScript (ES6+) * HTML5, CSS3 ...

Fynbosys Inc

Data Architect

Dallas, TX

$63.25 - $81.50/hr

Hi Role :Data Architect Location- Dallas, TX. Required Qualifications • 12-15 years in data architecture, data engineering, or enterprise architecture. • 7 or more Hands-on development background ...

Fynbosys Inc

Salesforce CPQ

Ann Arbor, MI · On-site

$54.25 - $72/hr

Hi Role : Salesforce CPQ Location - Ann Arbor, Michigan (Onsite) Visa - Any visa except OPT Experience - 14+ Years Revenue Cloud / CPQ & Billing ▸ Configure and extend Salesforce Revenue Cloud (CPQ ...

Sr. Data Scientist Lead

Sr. Data Scientist Lead

Fynbosys Inc

Mountain View, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role Overview 
We are seeking a highly analytical and strategic Data Science professional to drive insights and decision-making across the QuickBooks Desktop ecosystem. This role focuses on customer growth initiatives including upgrade, attach, monetization, and migration strategies. The ideal candidate will combine strong technical expertise with business acumen to influence product and marketing outcomes. 
Key Responsibilities 
• Define and frame business problems, develop hypotheses, establish success metrics, and deliver actionable recommendations 
• Generate strategic insights to support customer lifecycle initiatives including upgrade, attach, monetization, and migration 
• Build predictive models, customer segmentation frameworks, and profiling solutions to drive product and marketing decisions 
• Analyze experimentation results (A/B testing) and marketing performance to inform optimization strategies 
• Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders 
• Partner with product, marketing, and leadership teams to influence roadmap and strategic direction 
• Design and implement scalable analytics solutions and reusable data assets to improve efficiency and consistency 
• Build and maintain data pipelines and ETL workflows using SQL, Python, and cloud-based data platforms 
Required Qualifications 
• 8–10+ years of experience in Data Science or Business Analytics 
• Strong experience in developing data-driven strategies that drive measurable business impact 
• Hands-on experience with experimentation frameworks (A/B testing), marketing analytics, and attribution modeling 
• Proficiency in SQL and Python for data analysis, modeling, and ETL development 
• Experience working with cloud-based data platforms (e.g., AWS, Google Cloud Platform, Azure) 
• Strong data visualization and storytelling skills with the ability to influence senior stakeholders 
• Proven ability to generate hypotheses based on customer behavior, market trends, and business context 
• Experience building scalable, reusable analytics frameworks and solutions 
• Excellent communication and stakeholder management skills 
• Ability to operate independently in a fast-paced environment and lead initiatives end-to-end 
Preferred Qualifications 
• Experience in fintech, SaaS, or SMB-focused products 
• Exposure to customer lifecycle analytics (acquisition, retention, monetization) 
• Experience working with product analytics in a platform or ecosystem environment 
 
 
 

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