พื้นฐาน
Data Scientist II
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