Data Scientist
Jobgether · United States
- On site
- Full-time
- United States
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About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist based in United States.
This role offers the opportunity to shape how advanced analytics and data-driven intelligence support business growth and operational excellence.
You will develop predictive models, forecasting solutions, and analytical frameworks that empower strategic decision-making across revenue-focused teams.
Working closely with cross-functional stakeholders, you will transform complex datasets into actionable insights that improve efficiency and customer outcomes.
The position combines technical expertise in data science with strong business understanding and stakeholder collaboration.
You will contribute to AI readiness initiatives, data governance improvements, and scalable analytics capabilities in a fast-moving technology environment.
This is an ideal opportunity for a data professional who enjoys solving complex challenges and driving measurable business impact through analytics.
Accountabilities
As a Data Scientist, you will be responsible for developing advanced analytics solutions, improving operational intelligence, and partnering with business teams to enable data-driven decisions.
The ideal candidate is an experienced data professional with strong technical skills, business acumen, and the ability to communicate complex findings clearly to stakeholders.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role offers the opportunity to shape how advanced analytics and data-driven intelligence support business growth and operational excellence.
You will develop predictive models, forecasting solutions, and analytical frameworks that empower strategic decision-making across revenue-focused teams.
Working closely with cross-functional stakeholders, you will transform complex datasets into actionable insights that improve efficiency and customer outcomes.
The position combines technical expertise in data science with strong business understanding and stakeholder collaboration.
You will contribute to AI readiness initiatives, data governance improvements, and scalable analytics capabilities in a fast-moving technology environment.
This is an ideal opportunity for a data professional who enjoys solving complex challenges and driving measurable business impact through analytics.
Accountabilities
As a Data Scientist, you will be responsible for developing advanced analytics solutions, improving operational intelligence, and partnering with business teams to enable data-driven decisions.
- Develop predictive forecasting models and analytics frameworks to support revenue planning and business strategy.
- Analyze sales performance, customer behavior, operational efficiency, and business trends to identify opportunities for improvement.
- Build scalable dashboards, analytical models, and reporting solutions that provide actionable business insights.
- Partner with Revenue Operations, Finance, Data Engineering, and commercial teams to improve KPI tracking and reporting consistency.
- Support AI readiness initiatives by improving data quality, developing analytical models, and identifying opportunities for automation.
- Collaborate with engineering teams to enhance data architecture, integrations, and analytics capabilities.
- Identify operational inefficiencies and recommend data-driven solutions to optimize business processes.
- Create analytical frameworks supporting customer growth, retention, expansion, and churn analysis.
- Support executive decision-making through advanced reporting, forecasting insights, and strategic analysis.
- Contribute to data governance initiatives, metric standardization, and improvements in business intelligence practices.
- Develop models and insights supporting marketplace, channel, and technology-driven business models.
The ideal candidate is an experienced data professional with strong technical skills, business acumen, and the ability to communicate complex findings clearly to stakeholders.
- 5+ years of experience in Data Science, Analytics, Revenue Intelligence, or a related field.
- Strong proficiency in SQL, Python, statistical analysis, and data modeling techniques.
- Experience working with large-scale operational, customer, and sales datasets.
- Proven experience developing forecasting models and predictive analytics solutions.
- Strong data visualization and dashboard development skills.
- Experience collaborating with business leaders, executives, and cross-functional teams.
- Ability to translate complex technical analysis into clear business recommendations.
- Strong understanding of SaaS, technology, or data-driven business models.
- Experience supporting revenue operations, customer analytics, or business intelligence initiatives is preferred.
- Strong problem-solving skills with the ability to identify patterns, investigate trends, and recommend solutions.
- Excellent communication skills with the ability to bridge technical and business discussions.
- Flexible working environment.
- Competitive compensation package with performance bonus opportunities.
- Birthday leave.
- 12 weeks of parental leave after 12 months of continuous service.
- Study leave allowance.
- Health and wellness programs.
- Creative and modern work environment.
- Opportunity to work alongside experienced technology professionals.
- Learning and development opportunities.
- Internal recognition and awards programs.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.