Cien
is an AI-first startup and we are global by design, with offices in
Barcelona, Miami Beach, and Dallas. Our workforce is also an example of
our vision, we are multicultural and diverse, and we pride ourselves on
hiring the best people out there.
Our
app provides a new way to measure and increase sales productivity.
Using AI, the app connects the invisible dots in our customers’ sales
data to predict outcomes, uncover improvement areas and recommend the
biggest wins for their team.
The founding team members have all had major previous SaaS company successes, and at Cien
we strive to make something 100 times better than before, hence the
name! We aim to build the best workplace possible to support our
employees -- through our benefits, workplace design, perks and culture.
Check out a short video we made just for you
We need great people like you to
help us shape the future of sales strategy, all in the context of the
Machine Learning field and with an international and diverse team.
We offer an exciting and innovative internship program in Data Science!
You will:
* Work alongside our Data Scientists to create models for predicting sales people’s behavior
* Create Data Visualizations
* Conduct data cleaning and detection of outliers in different sets of data using tools like MongoDB and Python etc.
The internship includes on-the-job training, collaboration with other team members, challenging work and a cool working environment.
If
you like working on challenging and intriguing projects in an
entrepreneurial environment that welcomes creative approaches and
solutions and if you are familiar with Python, and have some experience in the Data Science world, then our internship is the right next step for your career.
We are looking for masters students, currently enrolled in Spanish universities, with advanced written and verbal communication skills in English and available to work for 25 hours a week in our office in Barcelona.
Interested? Apply now!
Cien
is an equal opportunity employer and value diversity in our company. We
do not discriminate on the basis of race, religion, color, national
origin, gender, gender identity, sexual orientation, age, marital
status, veteran status, or disability status.