Data Scientist

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. Data Science Analyst is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization's strategies. The Data Science Analyst 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 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.

Responsibilities

Business Analysis
· 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

Stakeholder Management
· 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

Solution Design
· Participates in brainstorming sessions to understand various internal/external factors that can impact the 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

Documentation
· Documents project deliverables in collaboration with teams and business users

Data Management/Architecture/Design
· 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 Big Data by exploring and implementing data centric technologies, Hadoop/YARN Eco System
· 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

Project Management
· Manages end-to-end delivery of enhancements
· Plans the delivery cycle in line with release goals

Software Engineering
· 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

Visualization
· Develops compelling data visualizations, dashboards, tools and utilities using Open Source technologies (Java/J2EE, JavaScript, HTML, CSS, Spring, JQuery, D3, React.js, 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

Vendor Management
· 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

***HIRING MANAGER – PLEASE REVIEW BELOW TEXT AND CONFIRM THAT INCLUDING IT MEETS LEGAL REQUIREMENTS FOR YOUR COUNTRY***

Qualifications
· 1+ years experience
· Bachelor's in Data Science, Computer Science or Machine Learning

***U.S. ONLY - EOE/M/F/Vet/Disability