Data Scientist en Softserve

Empleo finalizado - No se reciben más postulantes

Sigue a Softserve en Get on Board y te notificaremos cuando publique nuevos empleos (y podrás encontrar muchos otros empleos de tu interés).

¿Te interesa trabajar en Softserve? Mira sus empleos:

WE ARE
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. 13,000+ associates are currently working on 1,100+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, make a difference, have fun, and love their work. In January 2022, we started our operations in Latin America. We made a commitment to grow our local community to 3,500 associates by 2025.
We are one of the largest teams that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field. In a Data Science Center of Excellence, you will receive a chance to contribute to a wide range of projects in different areas, domains, and technologies.

YOU WANT TO WORK WITH

  • Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline includes deep analysis of customer data, modeling, and deployment in production. It also includes decision-making regarding relevant computational tools for study, experiment, or trial research objectives
  • Production of clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
  • Presenting results directly to stakeholders and gathering business requirements
  • Compiling and interpreting analysis results as well as contributing to the proposals and architecture vision delivered to the customer

YOU ARE

A Data Scientist who will help us to discover the hidden information in vast amounts of data and make smart decisions to deliver even better products. Your primary focus will be on

  • Working on Data Science related problems for different business domains
  • Implementing and supporting predictive models, applying Data Mining techniques
  • Providing analytical support in the pipeline of Machine Learning models operationalizing process
  • You should be strongly competent in Applied Statistical Data Analysis and solving AI problems with application to the Predictive and Prescriptive analytics techniques. You should also be qualified in Deep Learning techniques application and have an in-depth knowledge of all mandatory technical and logical areas of the practice to utilize them successfully.

A candidate should demonstrate such experience and abilities as

  • Ph.D. or Master's Degree in Computer Science or related field
  • Practical experience and extensive knowledge in Applied Statistics and Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
  • Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understand
  • Strong knowledge of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
  • Expertise in more than one Data Science Specialization such as NLP, Time Series Analysis, CV, Recommender Systems, and others
  • Understanding of Machine Learning operationalization processes
  • Working on complex projects where independent judgment is used within a broad range of defined procedures and practices
  • Understanding the concept of Software Development Life Cycles of AI projects
  • Upper-intermediate English level or higher

Desirable skills

  • Knowledge of Big Data solutions and advanced data tools in Cloud Platforms
  • Hands-on experience in building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
  • Advanced proficiency in programming software such as Python, C++, Scala, and others
  • Strong interpersonal, analytical, and problem-solving skills to lead teams of data scientists and software engineers to successful project execution

TOGETHER WE WILL

  • Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize Machine Learning pipelines, and integrate them into existing business environments
  • Communicate with the world-leading companies from our logos portfolio
  • Work with the latest modern tools and technologies on various projects
  • Participate in international events and get certifications in cutting-edge technologies
  • Have access to strong educational and mentorship programs
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

Biblioteca física Acceso a biblioteca de libros en papel dentro de la oficina.
Mascotas permitidas Las mascotas son bienvenidas en la oficina.
Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
Seguro de vida Softserve paga un seguro de vida para sus empleados.
Ausencia por enfermedad pagada Se ofrece cobertura por días no trabajados a causa de enfermedad (pueden aplicar límites).
Estacionamiento de bicicletas Hay un lugar privado para estacionar las bicicletas.
Biblioteca digital Acceso a libros y/o suscripciones digitales.
Cobertura de salud Softserve paga o copaga cobertura de salud adicional a lo legal.
Seguro dental Softserve paga o copaga un seguro dental.
Estacionamiento gratis Softserve ofrece estacionamiento de autos gratuito.
Computadora Softserve proporciona una computadora para tu trabajo.
Vestimenta informal Softserve no exige ningún código de vestimenta.
Vacaciones extra Softserve otorga vacaciones pagadas adicionales al mínimo legal.
Bebidas y snacks Softserve ofrece algunas bebidas y snacks de libre disposición en la oficina.
Día de cumpleaños libre El día de tu cumpleaños es canjeable por un día completo de vacaciones.

Política de trabajo remoto

Híbrido

El trabajo se desempeña algunos días de forma remota y otros en la oficina en Santiago (Chile).

Sólo empleos que valen la pena.
Regístrate gratis y descubre empleos seleccionados para ti.