Data Scientist

2 Minutes ago • 4 Years + • Data Analysis

Job Summary

Job Description

This Data Scientist role involves developing and validating time series forecasting models, building and evaluating machine learning models, and integrating data from various sources. The successful candidate will collaborate with stakeholders to translate business needs into analytical solutions, document results, and work with engineers on data pipelines and model deployments. The role requires strong statistical knowledge, proficiency in Python and SQL, and excellent communication skills.

Must have:

Develop and validate time series forecasting models.
Build and evaluate traditional machine learning models.
Clean, preprocess, and integrate data from diverse sources.
Collaborate with stakeholders to understand business needs.
Translate business needs into analytical solutions.
Document and present results clearly to audiences.
Work with data and software engineers on pipelines.
Develop and maintain production-grade data pipelines.
Monitor and periodically retrain or recalibrate models.
4+ years of relevant experience in data science.
Strong knowledge of statistics and predictive modeling techniques.
Practical experience with time series forecasting.
Proficient in Python (pandas, scikit-learn, statsmodels, matplotlib).
Solid experience with SQL and relational databases.
Ability to translate business problems into analytical tasks.
Strong analytical mindset and attention to detail.
Clear verbal and written communication in English.

Perks:

Flexible work location (remote or office in Cluj-Napoca, Oradea, Bucharest).
Access to internal learning platform - Precipio.
Private health insurance provided by Signal Iduna.
Work from home fixed monthly budget.
Monthly budget for flexible benefits through Edenred Benefit platform.
Sports benefit reimbursement for favorite sporting activity.

10 skills required

10 skills required for this role

Add these skills to join the top 1% applicants for this job

forecasting-budgeting

budget-management

game-texts

matplotlib

data-science

scikit-learn

pandas

python

sql

machine-learning

Job Details

Job requirements

Responsibilities

Develop and validate time series forecasting models (ARIMA, Prophet, SARIMA, etc.) for predicting demand, performance, or other business metrics.
Build and evaluate traditional machine learning models (regression, classification, clustering) for prediction and segmentation tasks.
Clean, preprocess, and integrate data from diverse sources (SQL databases, APIs, flat files, etc.).
Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
Document and present results clearly to both technical and non-technical audiences.
Work with data and software engineers to develop and maintain production-grade data pipelines and model deployments.
Monitor and periodically retrain or recalibrate models to ensure long-term performance.

Requirements

4+ years of relevant experience in data science or a similar analytical role.
Strong knowledge of statistics and predictive modeling techniques.
Practical experience with time series forecasting using traditional methods (ARIMA, ETS, Prophet, etc.).
Proficient in Python (pandas, scikit-learn, statsmodels, matplotlib, etc.).
Solid experience with SQL and relational databases.
Ability to translate business problems into actionable analytical tasks.
Strong analytical mindset and attention to detail.
Clear verbal and written communication in English.

Perks and Benefits

We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest.
Access to learning through our internal platform - Precipio.
Private health insurance is provided by Signal Iduna.
Work from home fixed monthly budget.
A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform.
Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports.