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We develop analytical solutions for various industries: demand forecasting systems for offline retailers, recommendation systems for banks, product search engines for online retailers and many more. We actively develop our business globally. 

Our demand forecasting team is hiring a Lead Data Scientist. Lots of different goods are sold in offline stores. For consumers to be able to find their favorite products fresh, a retailer has to accurately predict demand. This includes considering seasonal factors, the impact of price dynamics, demand for substitute and complementary products, and many other factors. 

Requirements:

• Excellent knowledge of machine learning, models deployment process and related issues;

• Stack knowledge: python3, hadoop (and spark, in particular), kubernetes, kafka, gitlab, and airflow;

• Knowledge of  classic algorithms and data structures, good development skills and knowledge of best practices.

Responsibilities:

• Make decisions about the further development of the product;

• Face uncommon problems and solve them;

• Make sure that the team feels comfortable and implement the best practices and processes;

• Make sure that there are no white spots in the product;

• Write code and tests;

• Conduct a review;

• Engage in analytics, model building, and hypothesis testing.

We are hiring a middle-level System Analyst.

We develop analytical solutions for various industries: demand forecasting systems for offline retailers, product search engines for online retailers, predictive maintenance systems, recommendation systems for banks. We actively develop our business worldwide.

Responsibilities:

• Participation in the development of a Big Data product as an analyst: interaction with architects and developers;

• Analysis of business requirements;

• Search and analysis of data sources, participation in integration processes;

• Setting tasks for developers and monitoring compliance of completed tasks with the set of technical requirements;

• Project documentation management.

Requirements:

• Work experience as an analyst for at least 2 years in information systems development and enterprise IT implementation projects;

• Ability to write technical documentation;

• Experience in coordinating requirements with business when working out technical specifications;

• Experience in visualizing the architecture of complex distributed systems;

• Experience with Confluence and Jira;

• Proficiency in SQL;

Additional requirements:

• Knowledge of the REST protocol;

• Knowledge of Python.

We are hiring a Product Manager to develop our Gooda analytics & Supply chain management platform and related solutions for retail, CPG and QSR.

What we do 

We develop solutions to optimize key business processes of large companies using machine learning and data analysis. 

The product to be developed:

We are developing a solution that increases the efficiency and accuracy of demand forecasting for the goods in retail, FMCG and QSR. This allows our Clients to optimize sales planning processes and key processes in logistics, procurement and marketing.

The solution consists of several modules, including a model that, based on historical data and machine learning methods, builds a long-term demand forecast, considering seasonality, promotions, cannibalization/halo effects and other factors. Further, the results of the forecast are used by different departments of the Client to:

• Plan procurement;

• Prepare strategic reporting;

• Prepare operational and tactical supply chain planning;

• Run what-if analysis and optimize promo calendar ;

• Implement dynamic price management;

• Plan and optimize assortment.

Now the solution is already used by several major retail chains, so the future manager will have the opportunity to observe how changes in the product influence the business in real time.

Responsibilities:

• Be responsible for key product metrics (revenue, marginality) and search for points of growth ;

• Manage the product backlog;

• Collect the needs of business customers from the Client’s teams to form a value proposition and formulate hypotheses for product improvement;

• Conduct market research, attract external experts;

• Work through and describe user scenarios, design user interfaces, organize the work of the product team (designers, analysts, DS, developers);

• Accompany the solution during its implementation (support the development team in providing the necessary knowledge of business logic)

Requirements:

• In-depth expertise in the subject area (demand forecasting, price management, supply chain management, assortment planning, promo planning, etc.);

• Project and product management experience;

• Ability to deal with uncertainty and numerous priorities;

• Experience in working with b2b products or services;

• Ability to speak the same language with the development team and the business;

• Systematic and structured thinking;

• Understanding the product process: from the development of a hypothesis to the implementation of particular features;

• The advantage will be the experience of working with advanced analytics products based on ML technologies.

SBDA Group develops and implements DS products in large businesses. For example: systems for demand forecasting in retail and FMCG, recommendation systems, systems for equipment predictive maintenance, search engines for online stores, production optimization systems for heavy industries, etc. 

About the team:

We are hiring an analyst-developer who will help improve our client analytics business, which deals with recommendation systems in retail, Next Best Action in pharma, personalization of search engines in online retail, customer profiling in banks and other tasks. 

Responsibilities:

• Developing analytical pipelines for working with data. Example of tasks:

• creating a system for automatic verification of input and output data,

• creating a module for quick inference of models when changing input data for subsequent what-if analysis of forecasts;

• Preparing the environment for the data analyst to work (assemble the docker, prepare instructions for its operation; setting up data collection and preprocessing, etc.);

• Support for data scientists and data analysts (also working in Python) in development tasks.

Minimal requirements:

• Experience with Python (pandas, flask, writing data processing pipelines, know about pep8);

• Understanding statistics (at the level of a university statistics course - median vs average, etc.);

• Experience in converting “analytical” code into “production” mode (adding tests, reference data, additional checks to the code written to quickly test hypotheses based on data).

• Experience in working with Airflow and other similar tools to run regular tasks;

• Experience in developing services (Django, Asyncio, etc.);

• Experience in designing big data applications (Spark, hadoop, etc);

• Experience in using machine learning.

We develop analytical solutions for various industries: systems for demand forecasting for offline retailers, recommendation systems in banks.

We are hiring a DevOps Engineer who will take over the support and development of the data infrastructure of DS/ML teams. You will have to deal with the infrastructure of data projects, which are an important part of the success of large companies worldwide.

Responsibilities:

• Design and deployment of infrastructure for new projects;

• Configuring application components and software;

• Configuring the monitoring stack and maintaining the infrastructure in the production mode;

• Solving and analyzing the root causes of incidents and problems related to the performance of the infrastructure;

• Implementation and configuration of debugging and optimization tools of the information system;

• Automation of assembling, testing, deployment and other processes.

• Technology stack: Docker, Kubernetes, Hadoop, Spark, Kafka, Redis, ElasticSearch, Kibana, Logstash, Prometheus, Grafana.

Requirements:

• Confident experience in Linux system administration;

• Kubernetes deployment and support experience;

• Experience with BigData;

• Bash / shell / python coding;

• Experience in using CI/CD automation tools: Jenkins / Gitlab CI, etc.;

• Experience with configuration management systems (Ansible and others).

An advantage:

• Experience with the Hadoop stack.

SBDA Group develops and implements DS products in large businesses. 

About the project:

We are hiring SQL developers/analysts of different levels for our projects in retail - an analytical product for FMCG suppliers. The product is based on the analysis of transactions and loyalty cards. Using this product our partners can create more effective promotion strategies, increase sales, optimize the assortment and expand the distribution of their products.

Responsibilities:

• Develop, optimize and maintain SQL code for complex analytical reports;

• Participate in a code review;

• Accompany the release cycle, perform data migration;

• Participate in the development of the product database: creation/refinement of database objects, job development, cluster load analysis;

• Prepare Ad-hoc reports;

• Participate in the elaboration of the reports.

Requirements:

• SQL: DDL, DML, partitioning tables, understanding query plans. 

• Experience with PostgreSQL;

• Python for automating work with the database, generating uploads, cluster analysis, etc.;

• Willingness to deal with technical documentation, learn about new technologies;

• Strong soft-skills.

An advantage:

• Experience with transactions, procedural SQL extensions (e.g. PL/pgSQL);

• Experience working with MPP DBMS (Greenplum, Clickhouse) or understanding their features;

• Knowledge of statistics;

• Experience with git;

• Experience with Airflow;

• Understanding the specifics of grocery retail.

We develop analytical solutions for various industries: demand forecasting systems for offline retailers, recommendation systems for banks, product search engines for online retailers and many more. We actively develop our business globally. 

We are hiring data scientists of different levels (from middle to senior) to strengthen our goods analytics practice developing demand forecasting systems for goods, price management, automatic selection of optimal promotions, etc. 

Responsibilities:

• Python data modeling and processing to extract business value from data;

• In-depth analysis of business problems and methods of their solution together with colleagues and business customers;

• Building reusable solutions for working with data and models;

• If you have enough experience — supervising or leading a team.

Requirements:

• Experience in using ML-libraries in Python (boosting, neural networks, etc.);

• Understanding of machine learning methods from the point of view of mathematics and the ability to adapt them to specific business tasks;

• Experience with Spark, Pyspark, Pandas, SQL, Hive, etc.;

• Experience in designing a solution starting with business problem formulation to mathematical formulation and down to programming a solution;

• Experience in automating data pipelines (Airflow, etc.) and devops skills (Docker, Kubernetes, etc.);

• Strong soft-skills.

We develop analytical solutions for various industries: demand forecasting systems for offline retailers, product search engines for online retailers, predictive maintenance systems, recommendation systems for banks, etc..

We are hiring a Python developer (middle to senior) to strengthen our team, which develops systems for demand forecasting, dynamic price management, automatic selection of optimal promotions, etc. 

Responsibilities:

• Development and support pipelines and backend services working with big data, models and business logic;

• Rapid development of prototype solutions;

• Support data scientists and data analysts (Python) in development tasks.

Requirements:

• Python development (pytest, multithreading, multiprocessing, asynchrony, metaclasses, etc.);

• Knowledge of SQL, experience with PostgreSQL;

• Experience in developing services (Flask, Django, Asyncio, etc.);

• Experience with Docker.

Additional requirements:

• Experience with Spark, Pyspark, Hive, Airflow, Pandas and other data processing tools;

• Devops experience (Docker, Kubernetes, Gitlab-CI, setting up the environment on servers, etc.);

• Top-level understanding of business processes in retail.

We develop analytical solutions for various industries: systems for demand forecasting for offline retailers, product search engines for online retailers, predictive maintenance systems, recommendation systems for banks , etc..

We are hiring a Senior/Techlead Python Developer.

Responsibilities:

• Development of pipelines and backend services working with big data, models and business logic;

• Supervising of the backend development team (web application) for interpretation of the results of ML models: task setting, code review, task execution control, workload planning;

• Designing the architecture of the solutions;

• Support for data scientists and data analysts (also working in Python) in development tasks.

Requirements:

• Python development (pytest, multithreading, multiprocessing, asynchrony, metaclasses, etc.);

• Team management and/or mentoring experience;

• Experience with BigData;

• Excellent knowledge of SQL;

• Experience with various data warehouses (PostgreSQL, Redis, Hadoop, etc.);

• Experience with ClickHouse;

• Experience in developing services (Flask, Django, Asyncio, etc.);

• Devops experience (Docker, Kubernetes, Gitlab-CI, setting up the environment on servers, etc.);

Additional requirements:

• Experience with Spark, Pyspark, Hive, Airflow, Pandas and other data processing tools;

• Top-level understanding of business processes in retail.

We develop analytical solutions for various industries: demand forecasting systems for offline retailers, recommendation systems for banks, product search engines for online retailers and many more. We actively develop our business globally. 

We are hiring a middle data engineer to strengthen our practice of goods analytics developing demand forecasting systems, price optimization, automatic selection of optimal promotions, etc.

Responsibilities:

• Development data processing and machine learning pipelines in Python and Spark;

• Support for data scientists and data analysts (also working in Python) in development tasks.

Minimal requirements:

• Experience with Python;

• Experience with Spark, Pandas and other data tools for at least six months;

• Experience in deployment, monitoring settings and transfer to support of developed solutions;

• Ability to work with the Linux/macOS command line;

• Create and maintain data pipelines;

• Ability to manage projects using git;

• Work experience at least a year.

• Experience with Airflow and other similar tools to run regular tasks;

• Devops experience (Docker, Kubernetes, Gitlab-CI, setting up the environment on servers, etc.);

• Experience in developing services (Flask, Django, Asyncio, etc.);

• Experience with Streamsets/NiFi.

We are hiring for a Frontend Developer (middle to senior level) to strengthen our practice of developing an internal platform  that allows us to develop AI-empowered solutions 5 times faster and in a more standardized manner.

This is a job that will require the maximum combination of technical expertise and creative thinking, we must constantly think about how to make the work of other developers easier and more enjoyable. In addition to participating in the development of the core of the platform, we offer periodic involvement in the development of other solutions on the principle of rotation - it is important to check directly how convenient the platform turns out to be, to bring ideas to the team for further improvement.

Who we are and what we do:

We develop analytical solutions for various industries: demand forecasting systems for offline retailers, product search engines for online retailers, predictive maintenance systems, recommendation systems for banks and many more. We actively develop our business globally.

Requirements:

• At least 2 years of experience as a Frontend developer;

• Confident knowledge of React and the principles of its operation, practical experience of at least 1 year;

• Experience of cross-platform layout and layout for mobile applications;

• Excellent knowledge of modern JavaScript, TypeScript, HTML and CSS;

• Ability to work with git;

• Experience working in the Unix OS command line.

Additional requirements:

• Docker experience;

• Understanding the principles of HTTP, REST;

• Work experience as a UX/UI designer;

• Knowledge of node.js;

• Webpack ownership;

• Experience with d3.js;

• Experience in code review (on both sides);

Responsibilities:

• Develop a dynamic Frontend for existing products and new projects;

• Interact with colleagues, discuss application design, propose and implement technological solutions;

• Engage in optimization, look for bottlenecks.

We develop solutions for optimizing key business processes of large companies using machine learning and data analysis. 

We are hiring a product marketing manager who will help us properly promote our products on the market. This person will play one of the key roles in the growth team, work closely with product owners, commercial team, operational marketing and ensure the promotion of our products globally.

The key goals and metrics of the product marketing manager will be the number of leads and the growth of the contact base. This person will need to experiment a lot, suggest new ideas in terms of product marketing.

The products to be promoted:

Goods analytics & supply chain management platform as well as solutions developed on the platform such as demand forecast & planning, evaluation of promo effectiveness and promo plan optimization, dynamic price management, assortment planning, supply chain optimization, etc. The users of this solution are the largest retail, FMCG, QSR companies.

Clients analytics & LTV management platform: customer micro-segmentation, consumer life situations detection & forecasting, calculation of the next best action, communication orchestration. Users of the solution are large online and offline retailers.

Responsibilities:

• Together with the product owner, segment potential customers and identify target audiences (TA), design unique value propositions;

• Create promo materials for active sales of products (sales kit);

• Create content for various marketing platforms;

• Participate in the preparation of an event marketing plan;

• Interact with our existing customers and collect feedback from them for further product development;

• Explore markets and be aware of trends, adjust positioning and sales kit depending on changes.

Requirements:

• Experience in promoting IT products in b2b, preferably AI/ML in retail, FMCG, QSR;

• Ability and willingness to work with different formats: presentations, one-pager, scripts for social networks and emails, etc.;

• Interest in the product and the market on which the product is promoted;

• Desire to learn about AI technologies ;

• The ability to structure research, present outputs.

SBDA Group is hiring a Customer Success Manager. 

Banks, telecom companies, retailers and other large companies are actively changing around the world, and we are in the middle of these changes. We help them become more customer-centric and use all available internal and external data to predict the needs of their customers. We actively develop our business worldwide . 

This position assumes close work with our clients. We create various analytical solutions for personalization, recommendation systems and client analytics. 

Required skills are the mixture of product management and business development, so a good candidate would be a person with experience in sales and creation/development of complex b2b or b2b2c products based on data analysis, primarily in banking, telecom or retail. 

Responsibilities:

• Active participation in negotiations together with the Head of practice both at the pre-sale stage and during operational work; 

• Interaction with the Client's team, value proposition formulation, expectations management; 

• Deep dive in the essence of projects: proposal and elaboration of ideas for the implementation of projects; 

• Monitoring the work of managers, analysts, developers involved in the project; 

• Results presentation to the Client together with the Head of practice or independently; 

• Regular communication with the Client's team to improve the current interaction, product and project methodology in general; 

• Customer relationship management.

Requirements: 

• Relevant experience of work with b2b or b2b2c IT products/projects using big data in banks, retail, telecom at least 2 years; 

• Excellent communication skills, experience in conducting complex negotiations; 

• Understanding or desire to understand the principles of machine learning; 

• Ability and desire to quickly get familiar with a large number of new technologies; 

We are hiring  a Presales Manager.

Heavy-industry companies are actively changing around the world, and we are in the middle of these changes. We help Oil & Gas, Mining & Metals companies become more innovative and efficient. We actively develop our business worldwide.

Responsibilities:

• Active participation in negotiations together with the Head of Practice both at the presales stage and during operational work;

• Interaction with the Client's team, value proposition formulation, expectations management;

• Deep understanding of project goals;

• Monitoring the work of managers, analysts, developers involved in the project;

• Presentation of the results of the work to the Client together with the Head of practice or independently;

• Regular communication with the Client's team to improve the current interaction, product and methodology  in general;

• Customer relations management.

Requirements:

• Relevant working experience with IT products/projects using data analysis in companies in the industrial sector (oil and gas, mining & metals , etc.) at least 2 years;

• Excellent communication skills, experience in  negotiations;

• Understanding of the principles of machine learning.