Data Scientist
Job Details
About the Company
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project
Our partner is revolutionizing retail with their dynamic pricing B2B SaaS platform, leading the charge in automating and optimizing pricing strategies with AI-driven insights. Their comprehensive solution, embraced by retailers and brands across over 40 markets, delivers actionable pricing recommendations that drive business growth and profitability. Since 2018, they've been empowering a wide range of industries, including consumer electronics, beauty, and apparel, to seamlessly integrate pricing strategies across online and offline channels.
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
Required skills:
- A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
4+ years of professional experience in:
- End-to-end machine learning lifecycle (design, development, deployment, and monitoring).
- Advanced Python development, including OOP, writing production-grade code, testing, and optimization.
- Data mining, statistical analysis, and effective data visualization techniques.
- Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
- Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.
Nice-to-Haves:
- Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
- Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
- Experience in reinforcement learning and Monte-Carlo methods.
- A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
- Experience with cloud services and platforms, preferably AWS.
Scope of work:
As a Data Scientist, you’ll play a critical role in shaping and enhancing our AI-driven pricing platform.
Specifically, you will:
- Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
- Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
- Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.
Why ALLSTARSIT?
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