Advanced Data Analytics Instructor

Lighthouse Labs

Lighthouse Labs

Data Science
Ontario, Canada
Posted on Thursday, August 10, 2023

Think of instructing at Lighthouse Labs, like being a professor for a college/university course - but less work. As an instructor, you will be asked to teach online lectures to corporate professionals to provide professional development for them. At this time - we require a commitment of a minimum of 6 hours/ week that could be during the day. Lighthouse Labs (LHL) is currently seeking a Part-Time Data Science Instructor to teach our corporate Advanced Data Analytics II program, focusing on the fundamentals of predictive analysis. We are looking for a collaborative, empathetic, and passionate instructor who is dedicated to delivering high-quality education. We are open to taking into account applicants from a variety of backgrounds, such as a data science industry specialist who has a strong desire to move into the teaching field.

If you have a strong passion for teaching and are enthusiastic about equipping corporate learners with essential skills to tackle real-world business challenges, this could be an excellent opportunity for you! The teaching schedule for this role is from 1:00 pm to 3:00 pm EST, on Mondays and Wednesdays. Moreover, the teaching is conducted remotely, allowing you to work comfortably from your own home or any suitable location of your choice.

What you'll be doing:

  • Deliver engaging lectures on predictive data analysis, covering its concepts, benefits, challenges, and applications within business units.
  • Explain the four types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive) and their roles in business decision-making.
  • Differentiate predictive data analysis from descriptive and prescriptive analysis.
  • Foster discussions on ethical considerations in Predictive Analytics, including issues like redlining and healthcare disparities.
  • Facilitate hands-on learning of statistical techniques and algorithms such as Regression Analysis, Decision Trees/Random Forests, Cluster Models, Time Series Modeling, and Native Bayes.
  • Teach students how to create, test, and implement predictive analytics models following the CRISP-DM framework.
  • Guide students in crafting effective business problem statements, identifying stakeholders, resources, constraints, and risks.
  • Lead sessions on data understanding, profiling, and exploration techniques to evaluate data suitability for analytics.
  • Instruct students on data preparation techniques, including cleaning, integration, transformation, and feature engineering.
  • Explore the analysis and modeling stage, emphasizing proper model selection, evaluation, and validation.
  • Train students in the presentation and deployment stages of the CRISP-DM model, emphasizing stakeholder communication, data visualization, and model deployment.
  • Oversee hands-on projects where students apply learned skills to real-world data analysis challenges.
  • Conduct data profiling and handle missing, duplicate, or inconsistent data, and apply appropriate data cleaning, transforming, and preprocessing techniques using EasyMorph.
  • Prepare data for linear regression using EasyMorph's data transformation features and leveraging EasyMorph's calculation capabilities to estimate and interpret linear regression models.
  • Introduce students to sensitivity analysis, scenario modeling, and the Monte Carlo simulation for decision-making and risk assessment.
  • Provide guidance on generating random samples, performing calculations, and summarizing output metrics through statistical techniques.
  • Build simple visualizations and reports in Easymorph.
  • Output reports and visualization in EasyMorph.
  • Facilitate the creation of reports and visualizations to effectively communicate analysis results.

What we need from you:

  • You have at least 3 years of working experience in Data Analysis or Data Science
  • A passion for teaching and mentoring others and creating positive learning experiences
  • Knowledge of predictive analysis and its use in business
  • Understanding of statistical methods, such as the Bayes Theorem, Native Bayes, Decision Trees/Random Forests, Cluster Models, Time Series Modelling, and the Monte Carlo method of random sampling, that are frequently used in the industry for predictive analysis.
  • Competency in the CRISP-DM technique's analysis and modeling stages.
  • Proficiency of EasyMorph, including Data Profiling, Quality Check, data cleaning, and normalization, or the aptitude to pick up the programme fast and produce results with it.
  • Having knowledge of Microsoft Teams is a bonus

About us:

Lighthouse Labs was founded in 2013 with the mission to effectively and efficiently prepare the workforce with the analytical and technical skills necessary to succeed in a world of automation. With an initial focus on our open-enrolment developer bootcamp, we have grown into a leading provider of professional education services, delivering outstanding educational outcomes for our students. Our secret? Innovative curriculum, proprietary ed-tech, unique mentorship and career services and partnerships with government and industry-leading organizations. We’re a bunch of quirky, inclusive and smart people who are changing lives by reimagining education - join us!

Lighthouse Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All positions at this time are remote, and we welcome all applicants. Feel free to ask us about other perks of working at Lighthouse Labs!

Lighthouse Labs is committed to creating an inclusive and accessible work environment for all candidates. We strive to ensure that our job application process is accessible to individuals with disabilities. If you require any accommodations or have any accessibility concerns, please reach out to and we will be happy to assist you.