At Braintrust, we are revolutionizing the way pricing decisions are made by leveraging AI and data science. Our mission is to empower businesses with cutting-edge tools that simplify complex decision-making processes. We’re looking for a Senior Data Scientist to drive innovation in our pricing solutions and help us deliver impactful, data-driven insights to our clients.
Job Overview
As a Senior Data Scientist, you will be at the forefront of designing and implementing algorithms that optimize pricing strategies for our customers. You will analyze large datasets, prototype models, and collaborate with cross-functional teams to ensure the effective delivery of AI-powered pricing solutions. This role is ideal for someone with a passion for data science, who thrives in a fast-paced, agile environment, and is eager to solve complex business challenges.
Key Responsibilities:
- Analyze large-scale retail data to derive actionable insights that inform pricing strategies.
- Develop, prototype, and fine-tune algorithms for pricing optimization and demand forecasting.
- Monitor, test, and iterate on algorithm performance to ensure accuracy and reliability.
- Actively participate in product development by collaborating with UX/UI teams, software engineers, and product managers.
- Communicate algorithmic solutions and insights to business stakeholders in a clear, concise manner.
- Engage with end users during discovery calls to gather feedback and refine solutions.
- Stay current with industry trends and best practices in data science, pricing optimization, and machine learning.
- Take ownership of key features within the pricing solution, from conception to deployment.
Qualifications:
- Minimum of 5 years of experience in data science or related field.
- Proficient in SQL for data extraction and manipulation.
- Strong programming skills in Python, including experience with scientific toolkits such as NumPy, pandas, scikit-learn, and deep learning frameworks like TensorFlow, Keras, or PyTorch.
- Expertise in Time Series Forecasting and experience with statistical testing methodologies, including A/B testing.
- Knowledge of Bayesian Models, Reinforcement Learning Models, or Causal Models.
- Experience working with tabular and multimodal data (combining data from text, images, or audio).
- Strong mathematical background, preferably in a Computer Science-related field.
- Upper-intermediate proficiency in English.
Soft Skills:
- Analytical and critical thinking abilities.
- Agile mindset with a willingness to experiment and iterate in a dynamic environment.
- Ability to communicate complex data models in simple business terms.
- Curiosity and a commitment to continuous learning.
- Strong teamwork and collaboration skills.
- Proactive communication and adaptability to changing circumstances.
- Customer empathy, with a focus on addressing the unique challenges faced by SMB sellers in the marketplace.
Benefits:
- Work with a rich and innovative software stack, with the freedom to select the most suitable technologies.
- Remote-first work culture with flexibility to operate from a home office or coworking space.
- Flexible working hours, with no time tracking.
- Regular performance and compensation reviews, along with measurable OKRs.
- Comprehensive onboarding process with a clear success roadmap.
- Competera covers 70% of the costs for training and courses to support your professional development.
- 20 vacation days, 15 additional days off, and up to one week of paid Christmas holidays.
- 20 business days of sick leave.
- Partial medical insurance coverage.
- Reimbursement for coworking expenses.
Application Instructions:
Interested candidates should submit their resumes and a cover letter detailing their experience in data science and pricing optimization. Successful applicants will be contacted for interviews.