Data Scientist in Barcelona

Bigfinite

Workplace
Onsite
Hours
Full-Time
Internship
No
Share offer

Job Description

The Company
Aizon is the outcome of years of expertise and the commitment to guide and lead biotech and pharma manufacturing into the future leveraging our AI/ML technology. With headquarters based in San Francisco and development in Barcelona, we are working with the latest technologies and top worldwide companies as partners (like Amazon). We've developed a Serverless SaaS platform, based on IoT, big data, artificial intelligence, and pharma 4.0 technologies, offering an intuitive way to gain meaningful operational intelligence by enabling real-time visibility, faster root cause analysis, and predictive insights for AI-augmented decision making in a GxP compliant manner with end-to-end data integrity. Aizon's technology platform can enable pharma/biotech customers to accelerate their manufacturing process while improving quality and compliance.


The Position

We are looking for a Data Scientist for our Barcelona office with a solid mathematical background and demonstrated experience in training machine learning models. As a Data Scientist in Aizon, you will analyse our customer's data in order to model the behaviour of a wide variety of pharmaceutical manufacturing processes. You will help us to build smart and reusable solutions for our customers and the product. Your work will be of great business influence, linearly linked to the Aizon platform.

Qualifications:

Excellent educational background (minimum MSc) in Computer Science, Mathematics, Statistics, or another similar quantitative field
At least 3 years in a similar position
Customer faced experience (with clients, stakeholders, etc)
Proficient in spoken and written English
Experience in training machine learning models
Solid experience with Python.
A decent understanding of programming principles and techniques
Comfortable with Machine Learning related libraries such as pandas, scikit-learn, TensorFlow, Keras, and big data frameworks such as Spark
Experience working with both relational and NoSQL databases

Responsibilities:

-Lead statistical analyses to solve business problems and help bring to production by working in close collaboration with the Engineering team
-Assist in the training of machine learning models for the Manufacturing Industry including probabilistic graphical models, linear models, text classification, computer vision and time-series models
-Identify bottlenecks in the ETL pipelines and recommend robust software solutions at scale
-Contribute to a SaaS life cycle through initial prototyping to enterprise-quality testing and final implementations by using Agile methodologies-
-Help on the interpretation and validation of ML models in order to meet the rigorous standards of quality set for the Pharmaceutical Industry
-Teach complex concepts to a mixed audience in training sessions for customers and third-parties of the product
-Analyze our customer's data in order to model the behavior of a wide variety of pharma manufacturing processes
-Help us to build smart and reusable AI-based solutions for our customers and the product


Desired Skills:

Familiar with AWS services and/or other cloud computing platforms is a plus
Capable of working with a dynamic product that is ever-changing and evolving rapidly
Strong analytical and creative problem-solving skills
Ability to take smart risks and champion new ideas
Team player, collaborative, innovative, get things done mind
Ability to understand business requirements and translate them into technical requirements
Show initiative in setting and meeting goals within an environment of managed change
Ability to work under pressure, responsible for multiple important tasks in parallel
Commitment to quality
Availability to travel


What we offer
Immediate start
Competitive salary in the sector, according to your experience and skills
Full time and permanent contract
Flexible schedule
Private medical and dental insurance
English / Spanish classes
Flexible Remuneration
Stock Options plan
Internal training and certifications plan
Career plan and scheduled salary reviews
Team Building Activities
An excellent work environment with a young, dynamic collaborative team
The possibility to join a young American company with great expectations and huge potential to grow

Key Words

    • Cloud & Edge
    • Mentoring Philosophy
    • Pharma Innovation/ Biotech
    • Newest Regulatory AI
    • Disruptive/ Changing Paradigms
Our mission is to advance manufacturing operations performance so pharma and biotech companies can provide patients with the right medicine, at the right time, and at the right price with faster time to market. We are committed to providing an inclusive environment where all employees feel mutual respect and are contributing to the good of society. The innovative nature of our team allows you to have close contact with our founders and be a part of a close-knit team without the corporate nonsense. We are a group of creators with diverse backgrounds (there are over 10 different languages spoken in our office) and are proud to be an equal opportunity workplace. All employment is decided on the basis of qualifications, merit, and business needs. We are embarking on an important journey, working to contribute to something impactful and new in the Life Sciences industry!
 

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