XpertAI is a young startup founded in 2018. We are based in the sunny Barcelona in a WeWork office with a lot of amenities around. Digital Strategy & IT consulting specialised in providing SW & App development services to accelerate and embrace digital customer interactions. Our main client is one of the biggest telecommunication providers in Africa. We are building a multifunctional app to facilitate Africans the access to free communication, money transactions and entertainment across the whole continent! and we are very proud of being part of such a beautiful & meaningful project.
Our principles are flexibility, openness and blameless, we work in an open office with an Agile mindset and in a fast-paced environment where every team member contributes to the success of the company with a positive attitude towards excellence and teamwork.
If this sounds interesting and you are looking for a company with a promising future where you can develop yourself, this is your opportunity!
We are looking for a Sr Data Analyst/Scientist for our Data department.
Tasks to be perform
- Leads the delivery of strategic advanced ETL and analytics solutions across different industries.
- Provide analytics insights and solutions to solve business problems that are specific to client requirements
- Support operations in fact-based decision making, RCA, and strategic initiatives through data analysis, text analysis, and statistical modeling.
- Engage in fundamental research to develop novel solutions.
- Staying informed of best technical practices from the fields of machine learning and software engineering to identify and help fill any tooling or skilling opportunities for the team.
- Build and Manage a team consisting of Data Scientists, Machine Learning Engineers, and Data Engineers.
- Day-to-day tasking and management of Data Science related functions. Regularly interfacing with internal stakeholders to prioritize opportunities for the team.
- Communicating the value of the Data Science projects applied to all projects and company-wide objectives.
- Building business processes for more efficient operation of the team.
- Teach and mentoring activities for team members across the organization.
- Experience with developing software and software engineering best practices.
- Experience managing a team of data scientist and software developers predominantly in cloud environment
- Familiarity with data science and/or AI technologies.
- Functional or technical leadership experience.
- Outstanding critical thinking skills.
- Outstanding communication and interpersonal skills.
- Advanced organizational skills.
- Demonstrated ability and drive to stay updated on new technologies in the rapidly evolving field of AI.
A successful candidate will be comfortable in a fluid, entrepreneurial and very high paced environment, but one that is focused on developing reusable software applications, not bespoke analytical solutions.
Must have
- 2+ years of Data Science experience or a related field, with hands-on experience handling data-driven decisions.
- Experience hiring, mentoring and managing a team of data scientists.
- Write complex ETL (Extract / Transform / Load) processes, to design and develop solutions for real-time and batch analytic processing on an AWS-hosted data and analytics platform.
- Experience in statistical modeling, machine learning, unstructured data analytics in-corporate and/or academic research environments.
- Expert in statistical and other tools/ languages – e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala.
- Proficient with SQL and relational databases.
- Degree in areas like Statistics, Operations Research, Physics, Computer Science, Economics, etc.
- Ability to partner with product manager and business stakeholders to define objectives.
- Strong applied analytics and problem-solving skills.
- Experience working with large data-sets, modeling, statistics, A/B & multivariate testing.
- Facilitates periodic synchronization meetings across several different onsite and distributed teams.
- Reports on standardized program-level metrics, and understands, tracks, and operates within defined KPIs.
- Advanced English communication skills.
Good to have
- Experience managing teams and projects.
- Proficient verbal and written communication skills in English.
- Familiarity with AWS data & analytics services stack (S3, DynamoDB, Redshift, EC2, Sagemaker).
- Familiar with Google Cloud data & analytics services stack (BigQuery).
- Develop, test and productionize predictive algorithms by using state-of-the-art machine learning solutions, and statistical models.
- Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Machine Learning, Non-parametric methods, Multivariate statistics.
- MSc (or PhD) in a numerical field such as Mathematics, Physics, Computer science, Electrical Engineering, or Statistics.
- Previous experience with Docker and Docker ecosystem (Kubernetes).
Soft Skills
- Aptitude to learn, think creatively to solve real-world business problems, and work in a global collaborative team environment.
- Be able to work within an Agile environment, building and evolving models in a test and learn fashion.
- Enthusiasm for working hard and having fun in a dynamic startup environmen.
Benefits
- Fully paid sick leave.
- Training, certifications & development sponsored by the company.
- Side projects: get time at work to dedicate to your own projects.
- Flexible compensation including meals, transport, daycare, and optional health insurance.
- Flexible working hours.
- Fully remote + WeWork office to meet your team whenever you want (free snacks, coffee and beer, after-work events, etc)
- Free language classes (online or not).
*XpertAI does not sponsor VISA.
XpertAI treats all employees and job applicants equally. Every decision is based on merit, experience, qualifications and talent. We do not discriminate on the basis of race, religion, political ideas, ethnicity, origin, gender, sexual orientation, age, marital status, social status, union states, kinship status, disability status or any other characteristics protected by applicable law.
Applicants in need of special assistance during the interview process may let us know in your application.
