Empleos de Científico de Datos

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senior data scientist for a vaccine company

Data Science

40 hrs/week

12+ months

Georgia

A remote Senior Data Scientist is needed. This job is about turning (big) data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.

The customer is a global influenza vaccine company developing innovative solutions to ensure epidemic and pandemic preparedness throughout the world.

responsibilities

Identifying the business problems
Finding the right data and methods to address them
Building and validating analytical models
Presenting the findings in a clear and informative way

requirements

3+ years of experience in data mining, statistics or machine learning
RDBMS/SQL knowledge
Programming experience (Python preferred)
Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc.
Big Data stack; Spark / MLlib
Proficiency with at least one of the Cloud providers
Experience with Data Science solutions productionalization
Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
Aptitude for problem solving
Decent communication / presentation skills (including working English fluency)

senior data analyst for a business services company

Data Science

SQL

40 hrs/week

12+ months

Georgia

Currently, we're looking for a remote Senior Data Analyst with 3+ years of experience in Data Science, and Machine Learning solutions knowledge to join our team.

The customer is a provider of high-quality business services in such areas as IT, Procurement, HR, Product Lifecycle Services, Financial Reporting and Analytics, and Real Estate and Facility Services. The candidate is expected to be able to review and re-engineer existing client solution and to present client intermediary results on a regular basis.

responsibilities

Understand business value and business need
Understand solution business requirements
Evaluate the relevancy of existing ML approach vs business needs; give recommendations
Assess and re-engineer existing ML Solution - both logic and code aspects
Work with Data analysis and Data quality aspects with project team and client’s technical stakeholders. Evaluate data quality vs calculation algorithms and outcomes expected
Closely cooperate with the client team. Act as a client team member
Intensively contribute into project technical documentation

requirements

3+ years of experience in Data Science
Experience of work with unsupervised machine learning
Experience with industrial-scale ML solutions
Experience of integration ML solution into Big Data based Cloud Platforms and optimizing its run in the environments
Experience in Data Analysis
Extensive experience of communication with client stakeholders both technical and business side (delivery is client driven) and presentation of results
Experience with BI visualization tools
Advanced SQL knowledge
Hands-on experience with Excel based Data Analytics
English Level: B2+

nice to have

Experience with Hadoop ecosystem (Hive, Impala, Hue, Spark, etc.)

senior data scientist

Data Science

Python, Data Visualization, Analysis

40 hrs/week

12+ months

Greece

We are seeking a highly skilled and innovative Generative AI Data Scientist to join our team remotely.

We are seeking a highly skilled and innovative Generative AI Data Scientist to join our team remotely . As a Generative AI Data Scientist, you will play a critical role in use case evaluation, architecture and development planning, developing and implementing state-of-the-art generative models to solve complex business problems. Your expertise in machine learning, deep learning, and statistical modelling will contribute to the advancement of EPAM. This is an exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology.

responsibilities

Research and Development: Conduct research and stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Explore and experiment with different generative models, architectures, and algorithms to enhance our capabilities
Model Development: Design, develop, and implement novel generative models tailored to specific use cases. Create and optimize deep neural networks, variational autoencoders (VAEs), generative adversarial networks (GANs), or other generative architectures to generate realistic and diverse synthetic data
Data Preprocessing: Work closely with data engineers and domain experts to preprocess and clean large-scale datasets. Apply statistical techniques and data augmentation methods to ensure high-quality input data for training generative models
Model Training and Evaluation: Train and fine-tune generative models using large-scale datasets, leveraging techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to assess model performance and generate insights to guide model improvements
Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts and experience designers, to integrate generative models into real-world applications. Provide technical guidance and support to ensure successful implementation and deployment of generative AI solutions
Innovation and Optimization: Continuously explore new techniques, frameworks, and tools to optimize and enhance the performance of generative models. Stay informed about emerging trends and best practices in the field and contribute to the advancement of the organization's data science capabilities
Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experiment results. Present findings and insights to both technical and non-technical stakeholders, contributing to knowledge sharing and decision-making processes

requirements

Advanced degree (Ph.D. preferred) in Computer Science, Data Science, Statistics, or a related field
Proven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative models
Strong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorch
Solid understanding of machine learning, deep learning, and statistical modeling concepts
Experience working with large-scale datasets and preprocessing techniques
Proficiency in data visualization and exploratory analysis tools
Strong problem-solving skills and ability to think creatively to design innovative solutions
Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences
Proven ability to work collaboratively in a team environment and contribute to cross-functional projects
Strong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fields

nice to have

Experience with natural language processing (NLP) and text generation models
Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWS
Knowledge of parallel computing and distributed training frameworks
Publications or contributions to the research community in the field of generative AI or related disciplines

senior business analyst for a leading food company

Business Analysis

Data Science, SQL

40 hrs/week

12+ months

Georgia

We are inviting a remote Senior Business Analyst with 3+ years of BI experience to join our team.

The customer is a world-leading food company that produces and markets dairy products. The main pool of tasks is associated with taking part in data analytics assessment, gathering requirements, design 1-2 analytics use cases for implementation, and support the delivery team. The project is focused on building a new enterprise-wide cloud platform in Azure.

responsibilities

Gather and formalize functional and non-functional requirements for 1-2 analytics use case
Create meaningful UI design (Power BI)
Analyze and profile data sources, identify and address data-related issues
Formalize data
Be responsible for obtaining deliverables sign-off
Support dev team in use case design and implementation on a daily basis
Facilitate UAT process with the Customer and Delivery Team
Work with minimal supervision

requirements

3+ years of experience in Business Analysis
Proven experience in data & analytics projects
Knowledge of corporate finance data + project management data (ServiceNow) + CPG commercial data
Ability to understand business needs and transform that into business and technical functional requirements documentation
Understanding of various Data Platform Architectures: EDW, Data Lake, Data Hub
Good knowledge of SQL, experience with BI tools (Power BI or any other)
Scope management and change management experience
Superior verbal and written communication skills
Solid understanding of SDLC (Waterfall, Scrum, Kanban)
Experience with planning and organizing BA process (including requirements elicitation from scratch and UAT)
English B2 or higher