DrSimonJ Pty Ltd

Founder and Principal Consultant

Canva

Senior Data Product Manager, Measurement & Experimentation

Senior Manager Data Science, Insights & Metrics

Data Science Manager, Ads Ranking and Machine Learning Experimentation

Booking.com

Data Science Manager, Homes & Apartments

Senior Data Scientist, Experimentation

Defence Science and Technology Group

Postdoctoral Research Fellow

Educational Testing Service (ETS)

Research Intern

McKinsey & Company

Graduate Data Analyst (Contract)

I help businesses shortcut the hard journey of turning their data into a competitive advantage.

Contact: simon@drsimonj.com

After a PhD in human intelligence and decision making, leading research to gain competitive advantage with the Australian army, and building the world's biggest and best data science and analytics teams at tech giants around the world...

I set out as an independent consultant to help as many organisations as I could to achieve results like:

📈 Increased profit margins by over 50%
📈 Eliminated 2-3 years and millions $USD worth of time resource
📈 Enhanced team productivity by doubling output
📈 Reduced financial planning error by 80%
📈 Improved ad spend ROI by 25%

There's so much opportunity for organisations to become more intelligent, and take more competitive advantage.

My job is helping businesses figure out how, and execute on it, as fast as possible!

I now live and work from Sydney, mostly with Australian enterprises who want to better leverage data science (via analytics, experimentation, and ML/AI) to make more intelligent decisions, improve market share and profit margins, increase productivity, and enable growth.

Interested in what I could do for an organisation like yours?
Let's chat! simon@drsimonj.com

Dr Simon Jackson

Zalando

☑ Decision support systems for estimating Reward to Risk ratio with causal methods
☑ Impact estimation & attribution
☑ Data engineering for Machine Learning
☑ Experiment design & analysis (A/B Testing)
☑ Machine Learning at scale for risk assessment
☑ MLOps
☑ Product strategy

Senior Data Scientist, Zalando Payments

talabat

☑  Growth: 
        • CRM strategy & automation [churn modeling & prevention, CLTV models, rewards & incentives analysis]
        • Journey analysis for prospects activation
☑  Data architecture: design of data models and ERDs for CRM 
☑  Design & analysis of experiments in the Marketplace 
       • Setting up processes & workflows to manage experimentation on CRM & product
       • Large scale A/B testing: search, LTR, multivariate experiments, experiment validation
☑  Data science education
       • Design and run workshops on ML, A/B testing & experimentation for both technical folks and executives
☑  Tech lead supervising and mentoring 5 data scientists and analysts in the team

Staff data scientist in the Growth team @ talabat, a Delivery Hero company

Ounass

Established rigorous data science practice in the growth team by planning, executing and monitoring data science initiatives with a focus on automation. Also contributed to team expansion & development through hiring and mentoring more junior members.

Worked on several strategic initiatives including:

☑  Personalization (recommender system, fit-size prediction, response/uplift models for CRM, Retention/Churn)
☑  Logistics (demand forecasting, inventory analytics)
☑  Experimentation (design of experiments, analysis of experiments)
☑  Data Quality (Lineage, Data Quality Monitoring, Incorporating Validation Pipelines)
☑  Contributing to the architecture of the data platform

Technologies:
• AWS: Athena, Glue, Sagemaker, Lambda, API Gateway, Sagemaker Pipelines, Event Bridge, ECR (Docker), Step Functions, AWS Personalize
• Python: Scikit-learn, pandas, XGBoost, Keras, Flask, Great Expectations
• Modeling: regression, classification, time-series analysis, optimization, uplift modeling, causal inference, Word2Vec, Hierarchical Neural Networks

Key Projects:
☑ A Word2vec based recommender system that runs on CRM & on the main product:
       - revenue uplift vs most popular items recommendations ~ 850% on CRM
       - revenue uplift vs recommender vendor of  ~10%-15% on the PDPs 
☑  A churn prevention system that uses behavioral data to predict the next best action to achieve retention for potential persuadable churners (~ 1.7% retention uplift). The system uses the following techniques: uplift modeling, Thompson sampling, and inverse propensity weighting.
☑  A framework for assigning treatments in offline A/B tests. The framework achieves stratified sampling using tools such as AWS step functions, Lambda functions and AWS Athena.
☑  Setting up a framework for measuring data quality with metrics such as completeness, accuracy, timeliness, consistency.

Data Science Manager - Growth

Majid Al Futtaim

• Developed metrics, dashboards and monitoring systems to track the health of the Leisure & Entertainment (L&E, i.e. VOX, Magic Planet) and Retail (i.e. Carrefour) businesses of MAF and generate experiment ideas.
• Collaborated with the L&E managers and executives to provide tactical and strategic support through data-driven analyses. 
• Built statistical and machine learning powered tools for marketing, operations, pricing.
• Developed rigorous technical standards for development in software engineering, SQL, experimentation & Machine Learning.
• Managed, followed-up, and mentored the data science team of a vendor (Publicis Sapient) using agile methodologies and Scrum.
• Contributed to the technical/business evaluation, hiring and on-boarding of data scientists ranging from junior to lead.

Data Scientist

Zaka

Laid the foundations for Zaka's data science tracks:

• Applied machine learning, 
• NLP, 
• Time Series,
• Computer Vision,
• Data Science Productization

Data Science & Machine Learning Consultant

CME Offshore sal

Developed solutions for a Canadian-based startup using:

• Image classification - Convolutional Neural Nets & Transfer Learning with Tensorflow
• Named Entity Recognition with Spacy

Mirum Agency

• Developed research and statistical models for products that measurably and efficiently improve digital journeys.
• Delivered technical and non-technical internal workshops to spread awareness about the importance of data science.
• Mentored junior team members.

DataCamp

• Developed material for the course "Machine Learning with Tree-based Models in Python". 
• > 58 K students enrolled in the course with an average rating of 4.6/5.

Data Science Course Instructor

SABIS® Educational Services

• Developed rich educational content for IGCSE, A level and AP level Physics curricula including exams, books, and lab manuals.
•  Integrated statistical and data analysis methods into existing curricula

Senior Analyst

Packt

Served as a technical reviewer for the course 'Beginning Data Analysis with Python and Jupyter' by Alex Galea.

Reviewer

I'm a data scientist, I leverage research, data, experimentation & models to drive business impact | Causal Data Science & Machine Learning

Do you know that a big number of companies lose a lot of money on data science initiatives and end up with little or no impact?

If you don't, you're in the right place.

I help companies turn data into value through experimentation, analytics, and machine learning.

WHO AM I?

I am an experienced data scientist who has worked in multiple fields including retail, entertainment, and finance.

WHY SHOULD YOU FOLLOW ME?

If you Google the term "data science", you'll find a plethora of tutorials on SQL, Python, R, Statistics, Deep Learning, causal inference.

Although these tools are useful in day to day work, they are only tools.

The data science pop culture has dazzled us into thinking that learning the tools is equivalent to learning the craft. 

That couldn't be farther from  the truth.

The essence of data science is to apply the scientific method to solve business problems and generate value.

"Doing" data science entails committing lot of mistakes. In other words, failing and learning. 

This is rarely mentioned in online resources.

Follow me on Linkedin to learn more about how I approach data science problems.

taplio

The Battle

Dr Simon Jackson

Elie Kawerk, PhD

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