Adaptiq
Опис
Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting
R&D teams for high-end, fast-growing product companies in a wide range
of industries.
About the Product:
Our client is a leading SaaS company offering pricing optimization solutions for
e-commerce businesses. Its advanced technology utilizes big data, machine
learning, and AI to assist customers in optimizing their pricing strategies and
maximizing their profits.
About the Role:
As a Data Scientist you’ll play a critical role in shaping and enhancing our
AI-driven pricing platform.
Key Responsibilities:
* 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.
Required Competence and Skills:
* A Master’s or PhD in Computer Science, Physics, Applied Mathematics
or a related field, demonstrating a strong foundation in analytical thinking.
* At least 5 years of professional experience in end-to-end machine learning
lifecycle (design, development, deployment, and monitoring).
* At least 5 years of professional experience with Python development,
including OOP, writing production-grade code, testing, and optimization.
* At least 5 years of experience with 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.
Why Us?
We provide 20 days of vacation leave per calendar year (plus official national
holidays of a country you are based in).
We provide full accounting and legal support in all countries we operate.
We utilize a fully remote work model with a powerful workstation and co-working
space in case you need it.
We offer a highly competitive package with yearly performance and compensation
reviews.
Adaptiq is a technology hub specializing in building, scaling, and supporting
R&D teams for high-end, fast-growing product companies in a wide range
of industries.
About the Product:
Our client is a leading SaaS company offering pricing optimization solutions for
e-commerce businesses. Its advanced technology utilizes big data, machine
learning, and AI to assist customers in optimizing their pricing strategies and
maximizing their profits.
About the Role:
As a Data Scientist you’ll play a critical role in shaping and enhancing our
AI-driven pricing platform.
Key Responsibilities:
* 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.
Required Competence and Skills:
* A Master’s or PhD in Computer Science, Physics, Applied Mathematics
or a related field, demonstrating a strong foundation in analytical thinking.
* At least 5 years of professional experience in end-to-end machine learning
lifecycle (design, development, deployment, and monitoring).
* At least 5 years of professional experience with Python development,
including OOP, writing production-grade code, testing, and optimization.
* At least 5 years of experience with 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.
Why Us?
We provide 20 days of vacation leave per calendar year (plus official national
holidays of a country you are based in).
We provide full accounting and legal support in all countries we operate.
We utilize a fully remote work model with a powerful workstation and co-working
space in case you need it.
We offer a highly competitive package with yearly performance and compensation
reviews.