พื้นฐาน

Data Scientist II

Bucuresti, Romania บริษัท: German Tech Jobs ลูกค้า / นายจ้าง: Yes Energy
โพสต์: 29.05.2026
วันปิดรับสมัคร: 13.07.2026
การอ้างอิงงาน: f5dfa6b874a2ef638bb9f07f3cb6c4ce

ข้อมูลงาน

ที่ตั้ง
Bucuresti, Romania
บริษัท
German Tech Jobs
ลูกค้า / นายจ้าง
Yes Energy
การอ้างอิงงาน
f5dfa6b874a2ef638bb9f07f3cb6c4ce
ประเภทรายการ
พื้นฐาน
ต้องมีใบอนุญาตทํางานของสหภาพยุโรป
ไม่
โพสต์
29.05.2026
วันปิดรับสมัคร
13.07.2026

รายละเอียดงาน

Salary: 14.000 - 18.000 RON net per month Requirements: ● 3+ years of professional experience in data science, specifically focused on predictive modeling or forecasting.● Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, or Computer Science).● Advanced proficiency in Python and SQL for data manipulation and model development.● Demonstrated experience with machine learning frameworks and production-grade data pipelines.● Ability to work effectively in an operational capacity, managing real-time model performance and troubleshooting. Responsibilities: Position SummaryThis role is on the Forecasting Data Science team and combines research with productionized model delivery in a forecasting SaaS environment. Based in our Bucharest office, you will partner closely with Forecast Analysts in an operational capacity—managing daily model configurations, runtime monitoring, and exception handling—alongside Product and Engineering teams. You will ensure models are accurate, reliable, and usable in production-grade services, bridging the gap between data exploration and robust operational systems.Primary Responsibilities● Build and scale Python-based libraries and pipelines for data extraction, feature engineering, and supervised learning.● Support daily forecasting operations, including runtime monitoring, exception handling, and model configuration.● Collaborate with Engineering to ensure robust handoff of research models into production systems.● Independently tackle moderately complex problems using data patterns to pinpoint root causes.● Design and implement scalable, well-reasoned solutions that consider the business impact on power market participants.● Participate in research and development to improve model accuracy in a forecasting SaaS environment.● Communicate technical workflows and performance metrics clearly to stakeholders and cross-functional partners.● Document model methodologies and operational workflows to maintain high standards of system reliability. Technologies: AIC#FortranSupportMachine LearningPythonSQL.NET FrameworkAWSAzureData-SciencePyTorchSnowflakenumpypandas More: Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, as well as in developing and delivering data and market analytics solutions. Since its inception in 2008 Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of over 200 amazing professionals located across the United States, Europe and Asia.CultureAt Yes Energy we care about saying “Yes” to customers. We like to listen and learn, and develop our solutions in line with our customers’ needs. We think about customers as business partners and when we help them to be more successful … we are more successful too.Around the office our culture is driven by some pretty fundamental values that we’re proud of:● We love innovation and solving tough challenges;● We are “high standards people” who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company;● We’re team-focused with a flat hierarchy-- we work in small teams on well-defined projects that directly impact the success of the business;● We play to the strengths and experience of each person, while each of us also works along a continuum of roles adjacent to our focus area. This presents a challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways; ● We are constantly growing. Professional development happens every day and every year.Compensation and Benefits● We offer highly competitive salaries and real bonuses that are achievable and that you can impact. ● Our benefits package includes private medical insurance, wellness/gym benefits, flexible vacation, and flexible work schedules. ● Yes Energy encourages and funds investment in both formal and informal professional development.Yes Energy provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, compensation, and training. last updated 22 week of 2026

ทักษะ

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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