Website: https://www.bluesarah.ai/
LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/
POC: careers@bluesarah.com
Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working
with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to
get in on the ground floor of an AI strategy?
About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the
modern shopping experience. We are starting by aggregating and analyzing third-party consumer
reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about
their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on
new product development. We are looking for talented, collaborative, self-starters to join our dynamic
team and contribute to designing engaging and intuitive digital products.
Job Title: Senior Data Scientist
Location: Remote
Responsibilities include:
· Data mining or extracting usable data from valuable data sources
· Using machine learning tools to select features, create and optimize classifiers
· Carrying out preprocessing of structured and unstructured data
· Enhancing data collection procedures to include all relevant information for developing
analytic systems
· Processing, cleansing, and validating the integrity of data to be used for analysis
· Analyzing large amounts of information to find patterns and solutions
· Developing prediction systems and machine learning algorithms
· Presenting results in a clear manner
· Proposing solutions and strategies to tackle business challenges
· Collaborating with Blue Sarah’s Business and IT teams
Skills:
· Entrepreneurial Mindset.
· Programming Skills – knowledge of statistical programming languages like Python, and
database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java,
or C++ helpful.
· Statistics – Good applied statistical skills, including knowledge of statistical tests,
distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics
required.
· Machine Learning – good knowledge of machine learning methods like k-Nearest
Neighbors, Naive Bayes, SVM, Decision Forests.
· Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra are important, as they form
the basis of many predictive performance or algorithm optimization techniques.
· Data Wrangling – proficiency in handling imperfections in data.
· Experience with Data Visualization Tools like matplotlib, ggplot, d3.js, plotly, any tableau
which help to visually encode data
· Excellent Communication Skills – must be able to communicate findings and
recommendations to both technical and non-technical audiences.
· Strong Software Engineering Background
· Hands-on experience with data science tools
· Problem-solving aptitude
· Analytical mind and great business sense
· Degree in Computer Science, Engineering or relevant field is preferred
· Proven Experience as Data Analyst or Data Scientist
Competitive compensation and benefits package, including healthcare and generous
vacation package.