Data Scientist

Company: Equinix
Company: Equinix
Location: Warsaw
Commitment: Full time
Posted on: 2023-05-03 16:17
Data ScientistEquinix is the world’s digital infrastructure company, operating 245+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.We are a fast-growing global company with 70+ quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,000+ networks and 3,000 cloud and IT service providers in 32 countries spanning six continents.A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.Location Warsaw, Poland or remote from Poland  Job Description As a key member of Equinix’s IT Data Science team you will solve complex business problems with data science. You will collaborate with the data science team members and business partners to identify problems and solutions. You will design, build, scale, and operate innovative end to end machine learning solutions as well as data collection, data wrangling, and data transformation for data coming from various source systems. You will participate in building modeling pipelines for various projects and experiments. You will also be involved in design, development, implementation and maintenance of various analytical solutions and data products built by our team. You will get a chance to lead your own data science projects.   Responsibilities:·       Work closely with data science team members and internal business stakeholders to identify business problems that can be solved with machine learning, AI, and analytics.·       Design and implement machine learning algorithms and statistical models, including data preparation, model development, deployment, and monitoring. Develop and implement solutions in GCP.·       Analyze and experiment with structured and unstructured data. Assess quality of datasets and their relevance for solving business problems.·       Ownership of data science solutions.·       Communicate results and data science concepts to technical and non-technical stakeholders. ·       Work with cross functional teams, sometimes located at different geo locations.    Required:·       B.S. / MS in Computer Science/ Statistics/ Quantitative Methods/ Applied Math/ Operational Research or related degree. ·       3+ years of professional data science experience. Consulting experience is a plus. ·       Experience in data analysis, data processing, and feature engineering using python and SQL.  ·       Professional experience with python, SQL, and GIT is a must. Experience with cloud technologies (GCP preferred) is a plus.  ·       Previous exposure to scrum or other agile practices in JIRA. Experience in project and stakeholders’ management is a plus. ·       Presentation skills. ·       Analytical skills. ·       Fluent in English.  Successful candidate will ·       Be a talent multiplier who gets the team around them to excel.·       Be persistent, creative, and driven to get results relentlessly.·       Exhibit a strong backbone to challenge the status quo, when needed.·       Exhibit a high level of curiosity, keeping abreast of the latest trends & technologies.·       Show pride of ownership and strive for excellence in everything undertaken. Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, colour, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.
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