Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.

About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.

About the team:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.

Job Description:

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with the Data Science team to define metrics, datasets, and automation strategy.
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how the services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery

Key Qualifications:

• 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• Education - minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.

Soft-skills:

• Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
• Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.

Location: CA, USA.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting.

processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

A global fintech leader, that provides customers with intelligence-driven financial services solutions for insurance, reinsurance, cyber services and more in search of Senior Backend Engineer for a long term.

Project: Business insurance quoting.

The main task: moving and converting an existing application that is written in Python to a new engine that is written in Kotlin.

Requirements:

• Proficiency in Kotlin: only BE. Deployed with Kubernetes to GCP.
• Python (the ability to understand and transfer code from Python to Kotlin).
• Knowledge of databases and table design. SQL preferably, Postgres knowledge is a must.
• API design.
• System design and asynchronous and synchronous communication patterns for solutions.
• Test and validation strategies (to make sure the system design will work).
• B2 level of English and higher. 

Direct supervisors on the project: Team lead and CTO.

Team: 4-5 developers, who are mostly focused on implementing some features and fixing bugs. There are engineers on the Kotlin system who can help with design and questions.

Company use agile methodology for development.

Planning, daily standups, and grooming.

Working hours: PST

We are a leading back-office solution provider for Fintech companies that specializes in brokerage-related solutions. We have been operational for over ten years and are continually innovating on a wide range of products and services that serve the financial industry. 

Currently, we are looking for a Technical Product Manager with a strong IT background. You will be working as part of a highly talented team of IT and business specialists. The team’s top priority is to deliver new features and improve existing services.

You like:

• A Challenge;
• A stable environment to nurture your passion for technology;
• A chance to grow as a specialist;
• To work in an agile, fast-paced environment;
• To deliver quality work on time and focus on business value;
• Meaningful work that has a profound impact on the company and the industry.

About you:

• Excellent communication skills. You communicate effectively across a disparate set of stakeholders with a range of technical skills and data literacy;
• 2+ years experience as a product manager in an Agile environment, ideally in the Data Products and Business Intelligence space;
• Exceptional project management skills. You get things done and more importantly, you get others to get their things done too;
• Analytical and decision-making skills. You're able to diagnose and identify as well as formulate effective action plans to resolve issues;
• Systems thinking: the ability to see how small details interrelate and impact the bigger picture;
• Experience with data visualization software;
• Strong knowledge of data warehousing and ETL fundamentals;
• Experience writing SQL queries to explore and QA data.

As an advantage:

• Hadoop and Spark experience;
• Vertica experience;
• Familiarity with Apache Airflow;
• Basic understanding of statistics and statistical testing;
• Familiarity with JIRA and Confluence;
• Familiar with the finance domain.

Responsibilities:

• Working directly with internal customers (at all levels) and engineers to identify data platform and visualization requirements and discover new areas of innovation;
• Translating the needs of non-technical systems users into technical requirements;
• Understanding and quantifying trade-offs to prioritize data and business intelligence engineering projects
• Being an evangelist for data, data visualizations and self-service analytics
• Writing and managing user stories in an agile environment; developing short and long-term strategic roadmaps;
• Being a champion of data quality.

We offer:

• Work in an international company;
• Comprehensive health insurance, social guarantees;
• Paid sports activities;
• Fruits, cookies and great coffee;
• Sponsored educational package;
• Modern office environment in the center of Riga;
• Friendly team and career growth opportunities;
• Fully subsidized parking near the office after the probation period;
• Remote work during the COVID-19 pandemic.