استخدام Senior Data Scientistتپسی1 ماه پیش
درباره موقعیت شغلی
درباره شرکت
موقعیت مکانی
نوع همکاری
خدمت سربازیAbout the Role
As a Senior Data Scientist, you will work on high-impact problems across TAPSI's products and operations. This role is not limited to analysis or model building. We expect Senior Data Scientists to lead problems end to end, from shaping the idea and defining success metrics to building, deploying, monitoring, and improving production solutions.
You will work on real-world challenges that require strong judgment in machine learning, statistics, experimentation, and product thinking. You will collaborate closely with software engineers, product managers, and business stakeholders to build solutions that are both technically strong and valuable in practice.
At TAPSI, we do not look at product understanding and technical depth as separate strengths. The most valuable people in this role can connect both: they understand the product deeply, and they can turn that understanding into reliable technical systems that create measurable outcomes.
Responsibilities
- Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems.
- Take full ownership of high-impact projects from problem definition to production rollout, including defining KPIs, success criteria, and practical trade-offs between accuracy, implementation time, complexity, and maintainability.
- Lead end-to-end product and modeling efforts, using modern tools and engineering practices to move from idea to production with speed and quality.
- Conduct advanced statistical and exploratory data analysis, including data wrangling, cleaning, and pre-processing.
- Develop statistical and machine learning models to solve business problems and derive actionable business insights.
- Combine product understanding and technical depth to build solutions where business value and engineering quality are both essential.
- Evaluate models and algorithmic techniques using proper offline and online metrics, strong baselines, error analysis, and segment-based evaluation.
- Translate model outputs into measurable improvements in customer experience, marketplace efficiency, revenue, reliability, or operational cost.
- Scale algorithms to large datasets and help deploy models.
- Derive metrics for model performance monitoring and continuously track model behavior as part of a broader understanding of product performance and system health.
- Coach junior team members and share knowledge with the broader team.
- Research new techniques and best practices within the industry.
Requirements
- Minimum of 2 years of working experience in the field of data science.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or having related equivalent experience.
- Strong product judgment and the ability to independently lead a project from idea to production with full ownership.
- Professional-level programming skills in at least one language such as Python or Go.
- Deep understanding of machine learning, statistics, probability, experiment design, and causal inference.
- Deep knowledge of algorithms and data structures.
- Ability to evaluate models rigorously and choose the right approach based on business goals, technical constraints, and real-world trade-offs.
- Experienced in leading end-to-end data projects.
- Understanding of software engineering fundamentals and the ability to build maintainable, production-ready solutions.
- Great interpersonal and communication skills, with the ability to communicate to a variety of audiences.
- Ability to create alignment across teams, explain trade-offs and uncertainty clearly, and help raise the technical level of the team through mentoring and strong technical judgment.
Preferred Qualifications
- Experience working on high-scale consumer products, marketplaces, mobility, logistics, or similar operational systems.
- Experience building production data science or machine learning solutions with measurable business impact.
- Experience working closely with both product and engineering teams in ambiguous, fast-moving environments.
پشتیبانی
تماس با ما
آدرس:تهران، خیابان پاسداران، بوستان ششم، نبش پایدارفرد، پلاک ۱۰۷، طبقه سوم، واحد ۱۲
ایمیل:info@kardix.com
