Expert Data Scientist

Description

**Ciklum** is looking for an **Expert Data Scientist** to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

**About the role**:
As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow.

**Responsibilities**:

- Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
- Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals
- Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
- Work directly with business analysts and data engineers to understand and support their use cases
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
- Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members
- Create educational programmes for both experienced Data Scientists and other departments to increase data handling mastery
- Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices
- Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service

**Requirements**:
We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit
- 8+ years of experience in Data Science solution development with a proven track record of leveraging analytics to drive significant business impact
- Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field
- Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind the Machine Learning
- Proven ability to relate and solve business problems through designed-from-scratch machine learning and statistics solutions
- Solid practice with CRISP-ML(Q) / TDSP methodology for solving commercial problems
- Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance
- 6+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries
- 2+ years of experience in Deep Learning solution development with Tensorflow or Pytorch libraries
- Experience diving into data to consider hidden patterns and conducting error analysis
- 2+ years experience of data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn
- Experience with SQL for data processing, data manipulation, sampling, reporting
- 5+ years experience creating/maintaining OOP Machine Learning solutions
- 3+ years of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration
- 4+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML)
- Data Science / Machine Learning certifications, or research experience with papers being published
- Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels
- Knowledge and experience of LLM / Generative AI development

Desirable
- PhD degree in Mathematics, Applied Mathematics, Statistics, Econometrics, Operational Research
- Prizes in Kaggle competitions
- Advanced SQL knowledge with MS SQL/ PostgreSQL experience
- Experience with Kubernetes
- Experience with Databricks, Snowflake platforms
- 1+ year of BigData experience, i.e. Hadoop / Spark
- Experience with No-SQL, i.e. columnar/graph databases

What's in it for you
- Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation
- Tailored education path: boost your skills and knowledge with our regular internal events (meetups, confer