Expert Data Scientist

Описание

Description

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

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 working for one of the Ciklum’s client who develops a system designed to enhance learning, streamline school operations, and connect students, teachers, and parents in a unified digital environment. It provides real-time academic insights, and seamless integration with key educational tools. The main short-term objective is developing an autonomous assistant based on GenAI (Azure OpenAI) models that is integrated with 3rd party components for academic performance monitoring, and helps parents to monitor their children's performance.

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-train other team members on technologies being developed, while also continuously learning new technologies from other team members 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!

General technical requirements:

BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (., Python libraries such as Matplotlib, Seaborn, Plotly, and the ability to present data effectively

Specific technical requirements:

Experience with LLM- and/or LMM-based system development including advanced techniques (. prompt engineering, retrieval augmented generation, agent development, Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (., Amazon SageMaker, Azure ML) Proficiency in SQL for data processing, data manipulation, sampling, and reporting Familiarity with NoSQL databases (., Azure Cosmos DB, Neo4j)

Domain experience:

Knowledge of data privacy laws and frameworks like GDPR, CCPA, and PCI DSS (Payment Card Industry Data Security Standard) to ensure the secure handling of customer data and payment information Expertise in managing sensitive consumer data, including PII (Personally Identifiable Information), and implementing consent-based data collection practices to protect customer privacy Familiarity with Customer Relationship Management (CRM) systems (., Salesforce, HubSpot)

Business-related requirements:

Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels

Desirable

Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (., Hadoop, Apache Spark) Research experience with peer-reviewed publications Recognized achievements in data science competitions, such as Kaggle Certifications in cloud-based machine learning services (AWS, Azure, GCP)

What's in it for you

Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations