18 вакансий в сфере Data Science

Сегодня в нашем дайджесте 18 интересных и разнообразных вакансий для специалистов в сфере Data Science. Чтобы подписаться на новые вакансии по этому тегу — перейдите по ссылке, задавайте нужные фильтры, пока не останутся только подходящие вакансии, а затем нажмите на тумблер.

[Kyiv] [Data Science] Data Scientist @Genesis

  • 1+ рік працюєш на позиції Data Scientist / Machine Learning Engineer / Data Analyst;
  • впевнено володієш Python і різними бібліотеками;
  • маєш знання і досвід використання математичної статистики і алгоритмів машинного навчання;
  • розумієш відмінності, а також плюси / мінуси різних методів машинного навчання;
  • вільно володієш SQL;
  • маєш широкий кругозір і бажаєш вчитися. Компанія швидко росте, тому тобі доведеться освоювати нові технології та адаптуватися до змін;
  • ти ініціативний і відповідальний. Людина, яку ми шукаємо — це не просто виконавець технічного завдання. Важливо висловлювати думку, доносити її до колег і приймати відповідальні рішення.

[Kharkiv/Remote] [Analyst] Data Analyst / Report Engineer (PowerBI / Tableau) @EPAM

  • 1+ year of relevant experience.
  • Experience with Complex SQL query building.
  • Experience with PowerBI or Tableau.
  • Good spoken and written English.

[Kharkiv] [Data Science] Middle Data Scientist @NIX Solutions

  • Высшее или неоконченное высшее образование в IT или физико-математическом направлении;
  • знание основ статистики и теории вероятностей;
  • знание основных методов кластеризации и классификации;
  • знание и опыт программирования на Python;
  • знакомство с фреймворками TensorFlow или PyTorch;
  • опыт работы с базами данных и знание языка SQL;
  • разговорный английский на уровне Intermediate или выше.

[Remote] [Analyst] Data & Analytics Solution Architect for Artifact @Daxx

  • 8+ years of experience in Data / Solution Architecture (from design to build to deploy to run).
  • 8+ years of experience in Analytics and Data Warehousing/BI.
  • 5+ years of experience in ML & AI solutions.
  • 5+ years of experience in Big Data and Real-time analytics.
  • Skilled in solution and data architecture and technology selection (across multiple cloud systems).
  • Analytical approach to problem-solving; ability to use technology to solve business problems.
  • Experience and a proven track-record with designing, building, deploying and maintaining data & analytics solutions are required.
  • Requirements Analysis and Project Delivery methodology (Agile, SAFe, DevOps / AIOps / MLOps / DataOps).
  • Data Science experienced in Python, R, Scala, SAS or similar.
  • Cloud-agnostic experience in Data & Analytics Services.
  • MS Azure (Data Factory / Data Bricks / Blob Storage / Data Lake Storage / Apps / Synapse Analytics / Analysis Services, MS SQL / Hi …).
  • Google Cloud Plattform (Dataflow, SQL, Kubernetes, BigQuery, Looker, DataProc, Data Fusion, Data Catalog, Data Studio, …) or AWS (RedShift, Glue, S3, Athena, EMR, Kinesis, Elasticsearch, Data Exchange, Deep Learning AMIs, SageMaker …).
  • IBM Cloud (DB2, DataStage, Spectrum Scale, MongoDB, Watson Studio, Watson Analytics, Watson Discovery, Watson Services, iLog, …).
  • Additional – Snowflake, SAP BW and similar.
  • Visualization: Power BI (DAX) Tableau, Qlik, R or similar.
  • Data Manipulation & Analytics: Alteryx, KNIME, RapidMiner or similar.
  • Data Integration: Cloud-based or Talend, SSIS, Pentaho, Informatica or similar.
  • Excellent interpersonal skills & communication in English (knowledge of German, French will be a plus).
  • Team and project leadership experience.
  • Must be decisive and show an ability to work with clients and assist their business and technical decision-making.
  • Willingness to travel (post-COVID) and work with a consultant’s diligence.
  • Experienced in working with virtual distributed teams.

[Remote] [Developer] Senior Big Data Developer for AgileLab @Daxx

  • 3-5 years of experience as a Big Data Engineer.
  • Bachelor’s degree in Computer Engineering or Computer Science.
  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • Strong knowledge of Scala or Java with a willingness to switch to Scala.
  • Expert in cloud-native technologies, IaC, and Docker tools.
  • Ability to solve complex networking, data, and software issues.
  • Business and functional understanding.
  • Excellent project management skills.
  • Excellent communication skills.
  • Proactivity.
  • Team Player.
  • Leadership capabilities.

[Remote] [Developer] Big Data Developer for AgileLab @Daxx

  • At least 2 years of experience as a Big Data Engineer.
  • Bachelor’s degree in Computer Engineering or Computer Science.
  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • Good knowledge of Scala or Java with a willingness to switch to Scala.
  • Familiarity at least on a cloud provider, and Docker tools.
  • Ability to solve complex networking, data, and software issues.
  • Good project management skills.
  • Good communication skills.
  • Team Player.
  • Eager to learn.

[Kyiv/Remote] [Data Science] Senior Big Data Engineer for Exabeam @Daxx

  • Expert level with at least one of the languages Python / Java / Scala / Go. Scala is highly preferable.
  • Experience with at least one of the next technologies: Elasticsearch / Hadoop / MongoDB / Kafka / Zookeeper / Prometheus / Spark.
  • Experience with Linux, Bash, Ansible, great to have k8s.
  • Experience with building high performance streaming pipelines, CI/CD.
  • Experience with PaaS/SaaS and microservice architecture.
  • Understanding of algorithms and data structures.
  • Experience with containerization, service discovery, orchestration.
  • If you work remotely, willingness to visit our Kyiv office at least once a month.

[Kyiv/Kharkiv] [Developer] Senior Big Data (Java) Developer for AgileLab @Daxx

  • Excellent knowledge of Java.
  • Expert in JDBC connectors.
  • AWS EMR (Elastic MapReduce).
  • Understanding of the CI/CD concept.
  • Distributed Computing experience.
  • Master Degree (Computer Science or Computer Science Engineering).
  • Upper-Intermediate English language (written and spoken).

[Dnipro] [Data Science] Data Scientist @Murka

  • Masters degree with at least 2 years of relevant experience in Statistics, Mathematics, Computer Science.
  • Strong background in probability and statistics.
  • Hands-on experience and a good understanding of various machine learning algorithms (linear regression, decision trees, random forest, gradient boosting, time series analysis, etc.).
  • Good R/Python skills.
  • Strong SQL skills — ability to write structured and efficient queries on large data sets.
  • Experience with A/B testing and other forms of causal inference.
  • Great data visualization and presentation skills.

[Remote] [Data Science] Senior/Lead Data Scientist @ITExpert

  • Будущий специалист по данным будет применять сложные математические модели к проблемам, возникающим при торговле финансовыми инструментами.
  • Для позиции необходим: опыт в Data-Science, практический опыт работы с классическими алгоритмами машинного обучения и опыт разработки на Python

[Kyiv/Remote] [DBA] AWS Data Engineer (ETL Developer) @ITExpert

  • Спеціаліст буде займатися створенням хмарного Data lake і побудовою ETL-процесів для міграції даних з різних on-premise-сховищ в хмарне.
  • Необхідні навички: досвід ETL.
  • Буде плюсом досвід з Hadoop, AWS, знання PL/SQL.

[Dnipro/Kharkiv] [Developer] Senior Data Engineer for Seeking Alpha @Ciklum

  • Bsc in CS/Mathematics/Statistics/Physics/EE or equivalent experience.
  • 5+ years of proven experience developing large-scale software using an object-oriented or a functional language.
  • Outstanding Software Engineering skills.
  • Proven experience with cloud-based data pipeline/backend services, using AWS.
  • Proficient with relational and non-relational data modeling.
  • Proficient with stream processing using the current industry standards (e.g. Akka, AWS Kinesis, Kafka, Spark, Flink, etc.).
  • Familiarity with a variety of big data frameworks and tools, including EMR, — Athena, Glue, Airflow, etc.
  • High-level English – a must.
  • A team player with excellent collaboration skills.

[Kyiv/Remote] [Data Science] Senior Data Scientist @Ciklum

  • 2+ years of experience in machine learning, the experience in at least one of the next domains will be a plus: Predictive Analytics, Recommendation Systems, NLP.
  • Expertise in Python and SQL.
  • Strong foundation in data structures, algorithms, statistics, and machine learning.
  • Detail-attentive to a fault.
  • Mother-tongue level English paired with outstanding written and verbal communication skills.
  • Strong self-management, consistently meets and beats deadlines.
  • A team player with excellent collaboration skills.

[Remote] [Data Science] Senior Data Engineer (Python) for Just Eat Takeaway @Ciklum

  • 4+ years’ experience in handling data pipelines, data warehouses or other (preferably distributed) data stores.
  • In-depth knowledge of Python, including 3+ years’ experience.
  • Proficient in working with Airflow.
  • Experience with MPP data warehouses like Redshift, Teradata, Snowflake and databases like Postgres, Oracle, MySQL etc.
  • Experience in the cloud is preferred (AWS, GCP, Azure).
  • Skilled in parsing structured and unstructured data. Knowledge of data warehousing is a plus.
  • An independent way of working: you prefer deploying services on the cloud instead of waiting for a DevOps engineer to hand your servers.
  • Passionate about clean code and ideas, and able to strike a balance between development speed and documentation + testing.
  • Fluent English (written & spoken) and good communication skills.

[Remote] [Data Science] Data Science engineer to Computer Vision oriented project @DressX

  • Fluency in at least one programming language (C/C++, Python, Julia).
  • Strong programming skills utilizing Scikit-learn, OpenCV, Keras and/or Tensorflow libraries, PyTorch framework.
  • OOP experience.
  • Experience in image processing, including traditional statistical methods and feature extraction approaches.
  • Familiarity with a broad set of supervised and unsupervised ML-based solutions to image or signal processing.
  • Strong analytical, creative problem-solving skills, and experience with fast prototyping of a minimum viable product.
  • Experience in implementing real-time machine learning and computer vision algorithms in large scale environments.

[Kyiv] [DBA] DBA | DataAnalyst | BI Lead @Дія

  • 3+ років досвіду на посаді DBA | DataAnalyst | BI
  • Готовність активно включитися на старті в процес безпосередньої реалізації поставлених завдань (Hands-on)
  • Профільну освіту — Data Science, Computer Science
  • Досвід в проєктуванні, профіліруванні та оптимізації робіт SQL | NoSQL, баз даних MongoDB, Redis, PostgreSQL і т. п.
  • Досвід проєктування, налаштування, аналізу роботи і оптимізації збору даних для аналітики, повнотекстового пошуковика (Kibana, Elasticsearch, Grafana)
  • Досвід і вміння створювати архітектурну документацію і опис бізнес-процесів (UML, BPMN)

[Remote] [Data Science] Senior Data Scientist @CNA International IT

  • 4+ years of experience with data analytics and statistical modeling.
  • Advanced experience working with relational databases, such as SQL.
  • Advanced programming skills with Python or R.
  • Experience working within an open source environment.
  • Strong quantitative and problem-solving skills with key attention to detail.
  • Ability to manage multiple projects with tight deadlines, follow through to completion, and present conclusions of analysis to senior management in an organised and thoughtful manner.
  • Experience working with specialty finance or FinTech is a plus.
  • Start-up experience is a plus.

[Kyiv] [Data Science] Game Analyst (World of Tanks Blitz) @Wargaming

  • Опыт работы в роли Data/Product Analyst не менее 3-х лет;
  • продвинутое знание SQL: умение оптимизировать запросы к базе данных, умение писать аналитические запросы;
  • опыт организации сбора телеметрии – дизайн, ТЗ на разработку, контроль качества;
  • знание основ статистики и теории вероятности;
  • знание формул и умение рассчитывать КPI мобильного игрового продукта;
  • опыт проектирования продуктовой отчетности;
  • умение презентовать результаты аналитических исследований;
  • понимание принципов визуализации данных; умение строить понятные и содержательные графики/диаграммы;
  • хороший уровень владения Tableau.

Источник: ain.ua

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