Lead Data Scientist | Innovation Booster US

Company:
Location: Remote

*** Mention DataYoshi when applying ***

Who we are


We are a boutique innovation consultancy in the US and Europe that help Fortune 500 clients develop, test, and launch new propositions. Throughout our projects we apply our unique approach combining data analytics, machine learning, and product design.

Do you want the opportunity to build a Data Science function within a dynamic and international environment? As this is a Senior role within the business, you have the autonomy to own Data Science from the start in a Data-Driven culture.

As our Data Science Lead, you will join a collaborative team of technology, design and innovation enthusiasts who built new innovative solutions for the biggest brands in the world.


Why you want to join us as our Data Science Lead

  • Built, lead, and develop the Data Science insights within a vibrant, young and international agency

  • Push the boundaries with new techniques

  • Autonomy, freedom, and ownership within a Senior position within the business

  • Opportunity to learn, upskill, and influence the performance of our business


As Data Science Lead you have

  • The desire to play a hands-on role in the development of new solutions for clients

  • An understanding of the full end-to-end Data Science lifecycle through to producing a solution (read more in responsibilities & desired skills)

  • Experience working with marketing and engagement data i.e. behavioural data, digital interactions

  • The ability to manage business understanding and technical understanding


As Data Science Lead you will

Help us discover the information hidden in vast amounts of data, frame and visualize it in a clear and compelling way for end business users, and ultimately help us make smart suggestions to deliver superior client results.


Find a list of responsibilities below:

  • Selecting features and optimizing classifiers using machine learning techniques

  • Data mining and machine learning using state-of-the-art packages, methods, and tools

  • Applying data science seamlessly to both client data and scraped 3rd party data (high comfort with Beautiful Soup, Selenium, ParseHub, and other scraping tools is preferred)

  • Enhancing data collection and cleaning procedures to include information that is relevant for building analytic systems while minimizing noise and enhancing signal potency

  • Running authenticity analysis on consumer posts and reviews

  • Framing, visualizing, and clearly communicating machine learning insights for non-technical users

  • Running NLP analysis with Python packages including NLTK, Gensim, StanfordCoreNLP, and others

  • Running keyword analysis and statistical analysis to create weighted trend analyses


Your primary focus will be in applying data mining techniques, doing statistical analysis, and applying existing and developing new algorithms to determine consumer demographics, core market trends, product features, consumer sentiment based on publicly scraped reviews, and other related exercises.


Therefore, we desire the following:

  • High statistical proficiency: Distributions, regressions, clustering, sampling, ANOVA methods, etc.
  • Solid applied experience with machine learning techniques and algorithms including Bayesian methods, clustering, classification, SVM, decision trees, boosted gradients, and others.
  • Experience with popular data science and ML toolkits, such as Pandas, NumPy, MatLab, etc, and preferably additional experience with NLP-relevant toolkits including CoreNLP, Gensim, and NLTK.
  • Comfort with data visualization via R, Tableau, HighCharts, and other platforms
  • Proficiency in using query languages such as SQL
  • Familiarity with unstructured data techniques and NoSQL databases (such as Cassandra/MongoDB)
  • Education: 3-5 years with a Master’s degree in a technical field (data analytics, computer science, mathematics, statistics, etc.) or 5-7 years with a Bachelor’s degree in the same fields


If you’re interested please send us your CV and we’ll get back to you within 3 days!

We’re looking forward to hear from you!


Roos Hofland and the USA Innovation Booster team

*** Mention DataYoshi when applying ***

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