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
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(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, 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 fulfil 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
About us:
India is a strategic growth market for Ciklum.
Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul.
Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow!
Be bold, not bored!
Experiences of tomorrow. Engineered together
Interested already?
We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.
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