Senior Data Scientist

Babel Profiles
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Amazon Web Services (AWS)
Mobile Application Software
Python
Machine Learning
Cloud Services
TensorFlow
SQL Databases
Working Model 2D
Comet Programming
PyTorch
Pandas
PySpark
Information Technology
Data Pipelines

Job description

Senior Data Scientist (Open to relocate to Barcelona) Our client, a fast-growing technology startup, is on a mission to accelerate the global success of mobile applications. Backed by a strong client portfolio of top-tier developers and publishers, the company operates from three strategic hubs: Spain, Poland, and the United States. As they continue to scale, they are now expanding their team in Barcelona and seeking motivated recent graduates eager to kick-start their careers and contribute to an ambitious, high-impact project. Join a vibrant Data Tech-Hub where you can keep growing and learning from a passionate team of Data Scientists, Data Analysts, and ML/Data Engineers who are ready to innovate and inspire Main responsibilities Uncover trends and insights by independently exploring complex datasets and resolving intricate data challenges. Build and deploy full-cycle data science solutions-from exploratory analysis to scalable, high-performing models-focused on improving ad targeting, bidding, and campaign results. Work closely with both business and technical stakeholders to turn requirements into impactful, data-driven strategies that boost advertising performance and ROI. Improve and fine-tune existing ML models and data pipelines within the ad-tech space , ensuring they remain efficient and aligned with a fast-moving market. Core skills/experience 3+ years of experience in data science, preferably in a product-focused environment 2+ years of experience in AdTech (or related field). Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong analytical skills with the ability to learn how to derive insights from datasets. Solid understanding of statistical modeling and machine learning fundamentals. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Proficient in Python and SQL Experience with frameworks such as PySpark and Pandas Skilled with cloud services (e.g., AWS) Hands-on experience in DNN model training libraries and frameworks (e.g., PyTorch, TensorFlow, Hydra, Comet) Experience in the AdTech industry is required What's on offer Hybrid working model from Barcelona's Hub (relocation package is included) Opportunities for professional development and growth Flexible work hours and vacation policy Great opportunity to kick-start your career in Data Science Our recruitment process? Step 1: Interview with our Recruiter to get to know you Step 2: Interview with our client's HR Team Step 3: Technical interview Step 4: Interview with Hiring Manager We are an equal opportunities employer and welcome applications from all qualified candidates.

Requirements

3+ years of experience in data science, preferably in a product-focused environment 2+ years of experience in AdTech (or related field). Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong analytical skills with the ability to learn how to derive insights from datasets. Solid understanding of statistical modeling and machine learning fundamentals. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Proficient in Python and SQL Experience with frameworks such as PySpark and Pandas Skilled with cloud services (e.g., AWS) Hands-on experience in DNN model training libraries and frameworks (e.g., PyTorch, TensorFlow, Hydra, Comet) Experience in the AdTech industry is required

Benefits & conditions

Hybrid working model from Barcelona's Hub (relocation package is included) Opportunities for professional development and growth Flexible work hours and vacation policy Great opportunity to kick-start your career in Data Science Our recruitment process? Step 1: Interview with our Recruiter to get to know you Step 2: Interview with our client's HR Team Step 3: Technical interview Step 4: Interview with Hiring Manager We are an equal opportunities employer and welcome applications from all qualified candidates.

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