Equinix is the world’s digital infrastructure company, operating 210 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.
At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams.
We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. 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.
Job Summary: Partners with the business and IT community to ensure that the right people have access to the right data in the right format at the right time. This Data Scientist is an advanced technical professional responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization's strategies. The Data Scientist has in-depth knowledge across multiple technical environments as well as strong business acumen and provides expertise regarding systems design, integration and performance analysis across the business. The role expects the knowledge of data wrangling and data analysis for better storytelling with data. The role promotes shared infrastructure and applications to reduce costs and improve information flows, and it ensures that new technology solutions do not duplicate functionality or diverge from each other and business and IT strategies. Takes direction from leads and continues to develop hands-on knowledge.
Takes direction from lead analysts on identified opportunities and improves organizational effectiveness with enhanced or new analysis techniques and insights
Participates and learns on gathering core requirements within broader context
Ability to provide storytelling with data. Engage in knit various data from different data sources and build compelling story to enable better insights into data
Analyze and investigate various data using visualization techniques using tools like Tableau, Power BI
Experiment with data using advances analytics techniques to identify unique insights in data and share them to stakeholders
Develops compelling data visualizations, dashboards, tools and utilities using Open Source technologies (D3, React.js, etc.) and tools like Tableau, Power BI, etc.
Organizes data in visually innovative ways in order to make it easy to understand to the stakeholders and technical folks at the same time
Data Modeling & Analysis & Wrangling
Understands relationships between data elements in different sources and builds models to help analyze
Works with large volumes of data; extracts and manipulates large datasets using standard tools such as Python, Hadoop, R, SQL, Spark, etc.
Analyzes and cleans data needed for various data science projects
Communicates data patterns identified in both internal and external data using various wrangling techniques
Helps in data discovery and evolving use cases to identify prediction/prescriptive solutions
Understands stakeholder expectations and communications within the area of delivery
Takes direction to identify and include correct stakeholders
Interacts regularly with the team in reviewing current solutions, results and evolving models in ensuring results are fine-tuned constantly
Participates in brainstorming sessions to understand various internal/external factors that can impact the data analysis
Participates in solutions to assigned requirements
Participates with the team to analyze and propose innovative solutions to replace legacy systems and data, such as individually-created and widely dispersed databases and spreadsheets, to better align with Equinix enterprise information standards and strategies
Applies knowledge in design, development, implementation and management of data sources
Learns and applies modeling techniques and implementation methodologies
Utilizes basic statistical models, algorithms and machine learning models in designing the solution
Develops technical skills in exploring and analyzing data across the enterprise and presents information and key insights that support the organization's growth and sustain strategies
Documents project deliverables in collaboration with teams and business users
Develops knowledge across a few technical environments
Understands and develops data sources and data architectures to address business requirements
Follows Industry trends and vendor capabilities to produce robust functional designs
Understands innovation in the space of Cloud Big Data by exploring and implementing data centric technologies, on Data Platforms like GCP, AWS
Under direction, builds solutions to bring data from various source systems both internal and external to Equinix
Testing & Test Design
Understands the business problem and technical design and develops test cases in alignment
Collaborates with senior BSAs and technical team to develop test cases
Manages end-to-end delivery of enhancements
Plans the delivery cycle in line with release goals
Develops skills in data warehousing methodologies and tools
Learns and works with scripting/programming languages (Perl, Python, PHP, Java, VB, C#, R, etc.) in developing solutions
Assists vendor resources with onboarding activities through all Equinix channels: email, laptop, access to systems, workspace, etc.
Vendor & Technology Evaluation
Conducts analysis on vendor and application options, i.e., Magic Quadrant, as a key input to selection cycles
Assists in building RFP documentation and selection criteria tools
5+ years experience
Bachelor's in Data Science, Computer Science or Machine Learning
Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, color, 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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Equal Employment Opportunity:
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.
Please click here to see the “EEO is the Law” poster and supplement.
Please click here to see our EEO Policy Statement.
Please click here to see our Pay Transparency Policy Statement.
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