Data Scientist Expert
4 weeks ago
About Ciklum
Ciklum is 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
We are looking for a Data Scientist Expert to join our team in India. As a Data Scientist Expert, you will become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities
- Develop 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 to 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.
- Interact with engineering teams and ensure 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-train other team members on technologies being developed, while also continuously learning new technologies from other team members.
- Create educational programs 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
- 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.
- 6+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems.
- 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(. 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, . Hadoop / Spark.
- Experience with No-SQL, . 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, conferences, workshops), Udemy licence, language courses, and company-paid certifications.
- Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally.
- Flexibility: hybrid work mode at Chennai or Pune.
- Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfill your potential.
- Global impact: work on large-scale projects that redefine industries with international and fast-growing clients.
- Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company, and regular team-building events.
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