examples.py

first = """TransVoyant is looking for a Data Science Intern to assist with live and predictive analytics research, design and development for our patented Continuous Decision Intelligence™ Platform. In this role, you will structure data and create the analytics needed to provide insights into our customer domains–ranging from predicting customer demand to forecasting port disruptions to getting in front of risks to national security. This position will craft statistical models, test hypotheses and visually summarize, interpret and report on TransVoyant CDI™-driven intelligence.


RESPONSIBILITIES

Become an expert on TransVoyant CDI™ Platform solutions and how they solve pressing customer challenges within 
National Security and Business Intelligence arenas Identify, retrieve, manipulate, relate and exploit multiple 
TransVoyant structured and unstructured data sets from thousands of various sources (ex. tweets, live aircraft, 
forecast weather), including building or generating new data sets as appropriate Create methods, models and 
algorithms to understand the meaning of streaming live data, translating it into insightful predictive output for 
customer applications and data products Educate internal staff (ex. development, sales, marketing) on how data 
science and resulting predictions can be productized for key industry verticals Assist with pre-sales and post-sales 
engagements–performing hands-on customer work when required Keep up to date on competitive solutions, products and 
services 

DESIRED SKILLS & EXPERIENCE

Cloud-based data analysis, manipulation and visualization experience Understanding of Hadoop stack and data analytics 
tools to exploit massive sets of TransVoyant data (e.g. HDFS, Spark, R, SQL, etc.) Ability to explain technical and 
statistical findings to non-technical users and decision makers Honed presentation and product demo skills Experience 
in technical consulting and conceptual solution design Basic programming and scripting experience with Java, 
JavaScript, and JSON is not mandatory, but is considered a plus Domain knowledge in enterprise demand, supply chain, 
and/or transportation management and visibility technologies is a plus Domain knowledge in national security 
anticipatory intelligence and situational awareness is a plus Must be a U.S. Citizen ABOUT TRANSVOYANT 

TransVoyant delivers our customers continuous insights to increase revenues, reduce costs and manage risks by 
combining the current and future behavior of their enterprises, their ecosystems and they dynamic world around them. 
We are innovative, creative, focused on customer success and love what we do. Team members enjoy highly competitive 
compensation, a fast-growing and flexible work environment, comprehensive benefits, 100% 401k matches, 
unlimited vacation days and professional development opportunities. """


second = """At Delta, we move the people who move the world. Keep climbing and apply to join us today!

The Flight Attendant role requires you:
To be eligible to work in the U.S. and be at least 21 years of age by 1/1/20

Work flexible/extended hours with short-notice schedule changes

Speak/read/write English fluently

Keep current travel documents

Work in a physically demanding role

Sit in a jump seat with seatbelt & harness

Open emergency exits; close aircraft doors weighing up to 60lbs & use a food/beverage cart requiring 32lbs of force

Manually close an aircraft exit door which can be as high as 68" from the floor

Comply with uniform & appearance guidelines

Complete a Department of Transportation (DOT) drug test and background check

Accept assignment to any base after training graduation and relocate or commute (i.e. standby travel) to and from 
assigned base location """


third = """We believe that a great writing experience is fast, outcome-focused, and alive with your ideas. Going from 
start to finish on a document in three minutes. Knowing who will respond to anything you've written before you even 
press send. Writing software that puts your ideas at the center, with language that is certain to land the way you 
want. Textio has already changed the way that thousands of companies write and now we are looking for a creative and 
curious data science leader to join us. 

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of 
data scientists focused on creating stories and insights from data. This team is part of Textio's larger data science 
group, which is accountable for building the machine learning models that drive Textio's platform and for product, 
marketing, and customer analytics. 

As the leader of analytics, you will shape Textio's quantitative understanding of our users, our product, 
and our business. You and your team will influence product metrics, customer-facing analyses, internal dashboards, 
and the data infrastructure supporting these. This is a unique opportunity to define the way Textio evaluates itself, 
and to expand the influence of data and informed analysis in decision-making across the company. 

You will be joining a welcoming and collaborative data science team at a company that deeply understands the value of 
data. Textio is a phenomenal place to build, learn, experiment, and deliver impact as a data scientist. Come join us! 
What you'll be doing: 

Strengthening the analytics function of Textio's data science team through technical leadership, hiring, 
and developing the individuals on your team Aligning work to the interests and aptitudes of the team Empowering the 
use of rich data in Textio's decision-making by establishing patterns and infrastructure that increase access to 
information Partnering with colleagues across Textio to develop and execute a roadmap for analytics Managing feature 
work in multi-functional squads with product managers, engineers, fellow data scientists, and colleagues across the 
business Using SQL and Python to get to the heart of questions, and learning new tools and skills as Textio evolves 
We'd love to hear from you if: 

You have experience building and leading collaborative data science teams in a dynamic environment You have a 
demonstrated history of mentorship and investing in the growth of those around you You create practical analytical 
solutions that are guided by business context, simplicity, and the contours of the relevant data You have previous 
experience building analytics/BI solutions that synthesize data from a variety of sources and serve end users in 
multiple parts of the organization You comfortably work in ambiguous problem spaces and create paths to increased 
clarity that help the team move forward You have a point of view and are low ego We're not looking for ninjas or 
rockstars. We want to work with awesome and innovative people who can help us use data to make Textio the best that 
it can be. 

Textio embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents 
a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Textio 
will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job 
application or interview process, to perform essential job functions, and to receive other benefits and privileges of 
employment. If you require accommodation please contact Josh Potter at recruiting@textio.com or (206) 492-8337 ext. 
785. 

Working at Textio is outstanding. Learn more about our philosophy, benefits, and team at https://textio.com/careers/. 
Share your story with us! """


fourth = """Marina Resident manager: part time, live-in position for 71 slip marina in Seattle. Manage maintenance, 
make or schedule and supervise repairs as needed, assist live-aboard residents, enforce rules, manage records. 
Experience in marina environment and maintenance, good people and management skills, basic computer skills required. 
Ability to organize time, trouble-shoot essential. Use of 40’ slip with utilities included. Send resume including 
contact information and 2 references 

Job Type: Part-time

Salary: $23.00 to $31.00 /hour

Work Location:

One location
Hours per week:

20-29
Pay Frequency:

Bi weekly or Twice monthly
This Job Is:

A job for which military experienced candidates are encouraged to apply Open to applicants under 18 years old, 
provided it is legally allowed for the job and location Open to applicants who do not have a high school diploma/GED 
A “Fair Chance” job (you or the employer follow Fair Chance hiring practices when performing background checks - 
learn more at https://start.indeed.com/fair-chance) A good fit for applicants with gaps in their resume, or who have 
been out of the workforce for the past 6 months or more A job for which all ages, including older job seekers, 
are encouraged to apply Open to applicants who do not have a college diploma Schedule: 

Day shift"""


fifth = """ZS is a professional services firm that works side by side with companies to help develop and deliver 
products that drive customer value and company results. From R&D to portfolio strategy, customer insights, 
marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge 
analytics to create solutions that work in the real world. Our most valuable asset is our people—a fact that’s 
reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated. 
ZSers are passionately committed to helping companies and their customers thrive in industries ranging from 
healthcare and life sciences, to high-tech, financial services, travel and transportation, and beyond. 


ZS' Business Consulting group delivers solutions to a broad spectrum of sales and marketing challenges. We also help 
our clients transform their sales and marketing strategies and organizations to improve their effectiveness. Our 
recommendations and solutions are based in rigorous research and analysis underpinned by deep expertise and thought 
leadership across the demand generation process. 

DATA SCIENCE ASSOCIATE

Data Science Associates (DSAs) design, develop and execute algorithmic, statistical and/or machine learning 
techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better 
fact-based decisions. DSAs will deliver client impact through: 

Collaborate with team leadership on research and development of new algorithms
Customization of general-purpose algorithms to specific context-rich client situations
Contribution to development of the ZS point of view in AI/ML/data science space

Responsibilities:

Investigate and develop rigorous analytical frameworks to address client problems Effectively work with a variety of 
different data – structured vs. unstructured, sparse vs. big data – to perform modeling and analysis Develop advanced 
algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective 
manner Execute statistical and machine learning techniques (e.g. supervised learning, unsupervised learning, 
reinforcement learning) on data sets to identify trends, figures and other relevant information Collaborate with 
clients and other ZS stakeholders to effectively integrate and communicate analysis findings Evaluate emerging 
datasets and technologies that may contribute to our analytical offerings Qualifications: 

Master’s Degree in Data Science, Computer Science or Statistics with strong academic performance in analytic and 
quantitative coursework required Knowledge of advanced analytics concepts and algorithms (e.g. machine learning, 
statistical learning, Bayesian methods, neural networks, optimization, natural language processing, 
etc.) Demonstrates proficiency in programming languages such as R/Python Exposure to tools/platforms (e.g. Hadoop eco 
system and database systems) Agile project planning and project management skills Excellent oral and written 
communication skills Strong attention to detail, with a research-focused mindset Excellent critical thinking and 
problem-solving skills Aptitude for, and enjoyment of working in teams High motivation, good work ethic and maturity 

ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian 
language is desirable. Candidates must possess work authorization for their intended country of employment. An 
on-line application, including a cover letter expressing interest and a full set of transcripts (official or 
unofficial), is required to be considered. ZS offers a competitive compensation package with salary and bonus 
incentives, complete medical/dental/life insurance programs and retirement savings benefits. We are an Equal 
Opportunity Employer. NO AGENCY CALLS, PLEASE. 

Connect with ZS on social media:

Like ZS Careers on Facebook Follow ZS Careers on Twitter and Instagram Follow ZS on LinkedIn for more job 
opportunities Subscribe to the ZS YouTube channel Explore the Life at ZS blog ZS has been recognized globally for its 
expertise in consulting and its flexible work environment. View ZS’s accolades. """


sixth = """Looking for a machine learning engineer who wants to make a positive impact in people's lives by 
developing and deploying machine learning solutions for various teams within Ideal Workplace. Organized professionals 
capable of completing complicated tasks individually. Strong data analysis, data visualization, story telling and 
presentation, and ETL skills are required. Ability to put data science products into production with technologies 
like Flask, Django, Docker and Kubernetes are a must Proficiency programming in Python using libraries like Pandas, 
Numpy, Scipy, and Matplotlib. Plotting with Matplotlib, Seaborn, or Plotly strongly desired. Knowlege of machine 
learning architectures and uses like SVM, naive bayes, linear and logistic regression, decision trees and random 
forest. Neural network architectures like CNN, RNN, LSTM, auto encoders, general adversarial networks, etc. Conduct 
exploratory data analysis and prepares summary visualizations of key fearutes of the data. Works with stakeholders to 
define business questions, checks in regularly with stakeholders during projects. Solid experience at the linux 
command line and with shell scripting. Work on a team of experienced data engineers to continuously imporve and 
evolve data storage and perfomance requierments across myriad of users. Work with engineering and operations team to 
automate and innovate new approaches driving scalability, reliability and performance. Adept problem solving, 
interpersonal, and communication skills. Proficient with varied data/database technologies (Postgres, MySQL, MSSQL, 
Redis, Hadoop) Familiarity with AWS/GCP Strong foundation in ML/AI, computer science, software engineering, 
statistics, mathmatics, NLP, natural language processing, recommendation engines, time-series forecasting, 
computer vision, etc. Building solutions that permit the fastest deployment, at scale. """


seventh = """Data Scientist seeking meaningful role utilizing the critical thinking and communication skills 
developed as a registered nurse while working with a diverse team of professionals in high stress environments. 

Lambda School Data Science Fellowship Data science and machine learning with Python Focus on, statistical analysis, 
visualization and storytelling, data engineering, OOP, model deployment, and collaboration 

Washington State University Bachelor of Science in Nursing Tutor and TA for many subjects such as anatomy & 
physiology organic chemistry, and statistics 

Diabetic screening recommendation tool, project link Turn business questions into data science products that deliver 
actionable recommendations Dash app, hosted on Heroku for exploring live predictions with an Xgboost Random Forest 
Classifier Take a technical dive into making decisions by manipulating probability thresholds with an interactive 
Plotly chart 

Investigation of King County, WA food deserts, project link Clean, combine, transform, and analyse data from multiple 
sources with Pandas and Numpy Create informative, intuitive visualizations with Maplotlib to tell a story that is 
understandable by non-technical stakeholders Examine whether a food desert designation correlates with lower fruit 
and vegetable consumption Multi-label classification with extra trees classifier, project link Systematic, 
repeatable model development 

Challenging multi-label classification where the number of features equals the number of binary targets Use Pandas, 
Numpy and Sklearn to formulate a machine learning problem from a table game 

Scrape popular job listing sites and use NLP to find job descriptions best matching your resume, project link Utilize 
BeautifulSoup to find listings, Spacy to create the vector representations used by Sklearn NearestNeighbors 
Containerized with Docker to run on any computer, or in the cloud 

Engineering Skills
Python
Bash / Zsh
Object Oriented Programing
Libraries & Tools
Pandas
Numpy
Matplotlib
Tensorflow
Keras
Scikit Learn
Scipy
Plotly
Flask
Dash
Git

Lambda School 
Data Science Team Lead


Conduct student code reviews to ensure proper understanding and application of concepts and methods.  


Lead 1:1 and team standup meetings to address blockers and facilitate collaboration.
"""