Senior Staff Data Scientist (Growth) - (Remote - US)
About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Senior Staff Data Scientist (Growth) in United States.
As a Senior Staff Data Scientist, you will play a pivotal role in driving business growth through the development and deployment of advanced machine learning models. Your expertise will help enhance customer experiences, optimize processes, and deliver actionable insights at scale. You will work closely with cross-functional teams, including product managers and engineers, to implement cutting-edge AI solutions and ensure they deliver tangible value in a production environment. This is a unique opportunity to shape the future of a fast-growing company while solving complex, high-impact problems.
Accountabilities:
- Lead the end-to-end machine learning project lifecycle, including data collection, model development, deployment, and post-launch monitoring.
- Design and implement advanced statistical and machine learning models to improve customer experience and drive growth.
- Collaborate with business, product, and engineering teams to understand objectives and translate them into technical solutions.
- Develop and maintain robust data pipelines and infrastructure for model training, deployment, and scalability.
- Conduct exploratory data analysis and generate insights to inform strategic business decisions.
- Evaluate model performance, perform A/B testing, and continuously iterate to optimize accuracy and efficiency.
- Stay updated on industry trends, advancements in machine learning, and fintech to apply best practices.
- Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 6+ years of experience in data science, specializing in statistical modeling and machine learning.
- Expertise in predictive modeling, causal inference, and optimization techniques to address business challenges.
- Proficient in Python, R, or similar programming languages with expertise in machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
- Experience with large datasets, cloud platforms (AWS, GCP), and distributed computing frameworks.
- Strong communication skills with the ability to explain complex technical models and insights to both technical and non-technical audiences.
- Proven track record of using data science to drive measurable business outcomes in a cross-functional setting.
- Competitive salary with base pay ranges: $209,000–$225,000 (for NY/NJ/CA) or $188,000–$203,000 (for other states)
- 100% company-paid medical, dental, and vision insurance
- 401(k) retirement plan + company equity
- Unlimited paid time off (with minimum PTO requirements) + 13 company-paid holidays
- Paid parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription for employees
- Opportunity to work in a dynamic, inclusive, and collaborative environment
- Company equity and competitive pay for full-time employees, including remote-first options.
Jobgether Hiring Process Disclaimer
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.
Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.
Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.
If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.
Thank you for your interest!
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