hi everyone it's time for another
industry review from 365 data science
but first have you ever mixed Nutella
and soy sauce
apparently tasting various combos
between the two is just an ordinary work
day at spoon shot one of the best
startups hiring data scientists at the
moment the experiment aim to find
products that shared similar compounds
with Nutella z' legendary hazelnut and
cocoa aroma as a result spoon shots
revealed new cross promotion strategies
to increase presence and under indexing
markets for their client sounds like fun
to me
and that's just one example of the
exciting adventures in the startup world
all right so let's review our top 10
fastest growing tech startups any data
scientist would be excited to join of
course we'll talk about the following
best development opportunities most
inspiring projects what you'll actually
do where to apply and why you should
consider working there so before you
start sending your resume to Bain and
McKinsey & Friends let's discuss some
other promising options number 10
cinnamon does your employer despise
paperwork
this Japanese AI startup found a
solution their cognitive document reader
automates data extraction from
unstructured documents saving millions
of hours of manual inputs and reducing
costs of enterprise operations cinnamon
is looking for top-tier talent and its
HQ in Tokyo or any of its offices in
Vietnam Taiwan and the US the startup
has recruited over 50 data scientists
with a goal of having 100 by the end of
2019 talk about fast expansion apart
from joining an award-winning team that
works with top-notch clients you'll also
develop an exciting ml product with a
steady increase in demand we can say the
future seems bright for members of the
sentiment team number 9 Oden
technologies Oden technologies
groundbreaking industrial Internet of
Things platform makes your factories
super smart they're all in one software
helps manufacturers solve plant
inefficiencies and understand the impact
of changes on their production in real
time
odin's team build a tablet based system
for real-time calculations in just 10
weeks when the usual time to develop a
product like that is up to one year New
York or London who
wouldn't want to be part of that super
team number eight spoon shot welcome to
the brave new world of food science and
taste intelligence spoon shot helps
solve the food and beverage industries
biggest challenges their AI technology
delivers insights for product
development ideas generates personalized
menu options and even tracks restaurant
customers experience as a data scientist
in this food tech startup you'll use
food data to improve the food brain
personalization algorithm you'll also
pick up knowledge in chemistry and
biology by working closely with food
scientists and a highly motivated team
in Bangalore or Minnesota and there are
six-month data science internship
opportunities the startups career page
says calling all foodies spoon shot
needs you no need to ask twice spoon
shot
we're in number seven siren siren is an
investigative Intelligence Platform that
uses ontology to represent relationships
between entities in a domain simply put
it can narrow down a law-enforcement
surge of a suspects car way further than
color and make for example
sirens capabilities allow investigators
to find a specific vehicle owned by
suspects in a certain age group whose
mobile was in the area on a given date
if you join sirens team you'll work on a
cutting-edge product at a fast-paced
environment where to apply HQ was
located in Galway with more offices in
Dublin Cambridge Bordeaux Trento and
Philadelphia the startup has won
numerous awards including technology
innovation of the year for 2019 no
wonder IBM and capita are some of the
companies in their partners list number
six stat works sprechen zie Deutsch that
would definitely be a plus as stat works
offices are in Frankfurt
Zurich and Vienna the consultancy has
successfully implemented more than 200
cross industry data science and AI
projects focusing on optimizing products
and services at stat works you'll work
with prominent clients such as mercedes
benz volkswagen buyer and hyundai you'll
develop AI ml and statistics models and
you'll get your hands dirty with some
scorecard modeling using R or Python
music - every data scientist year number
five
epsilon epsilon delivers the most
advanced are shiny apps data science
consulting services and support with our
shiny and Python - technologies this
startup boasts an impressive portfolio
with projects across finance ecommerce
real estate and even maritime
transportation although both absalon's
office locations are in Poland Warsaw
and Gdansk no timezone is out of reach
with clients in the US Europe and even
Hong Kong and Australia its partners
include a players like BCG and namu
Systems absalon's founders join forces
more than 10 years ago merging their
experience from companies like Google
Microsoft Bank of America and UBS into
their own company you'll join a team
with an enviable skillset and work on
fascinating projects like processing
satellite imagery to search for a ship
so make no mistake there will be no
boredom in epsilon town number 4 adept o
adept o provides custom-made AI models
and BI solutions to optimize company
operations and increase ROI its bi
projects include developing OLAP and
tabular cubes and implementing customer
data visualization tools such as tableau
power bi and looker adept o also helps
clients enhance their products with ml
solutions it doesn't matter if you
choose Warsaw or New York you'll gain
experience in creating ml and DL
algorithms with the active support of
experts in the field
you'll also put your SQL and Python
knowledge into practice with projects
and finance logistics manufacturing and
marketing the way we see it these are
all great development opportunities
number three see some see some turns
emotions into investment wins how their
application analyzes billions of news
articles social media blog and forum
posts to help predict financial markets
movements the startup uses NLP
algorithms ml models quantitative
analysis and turns Big Data into smart
data to ensure a competitive edge to
their high profile clients what will
working there be like well you can check
out the open positions in Metz Paris or
Luxembourg and apply for both senior
positions and data scientists
internships you'll develop machine and
deep learning based algorithms and
propose a financial
interpretation of probabilities
outputted by their models the data
scientists dream come true
number two aureus analytics this rapidly
expanding startup offers cloud-based
analytics products for the insurance
sector aureus is AI platform leverages
NLP to discover trends and patterns of
client behavior boosts customer
retention and leads to greater lifetime
value aureus analytics is definitely on
the rise with its recently closed
fundraiser of 3.1 million dollars now
apart from its headquarters in Singapore
you can opt for the offices in Mumbai
and Hartford - what comes next for the
startup is further expansion in the US
market and scale up of their platform
development seems like there are plenty
of data science career opportunities
plus its team promises you'll have a
grand time working with them and here's
number one in our list
health at scale care about
revolutionising health care with machine
intelligence this silicon valley-based
startup delivers a platform that aims to
match the world's patients to the right
treatments by the right providers at the
right times
awesome right health at scale was
recently backed by investors raising
sixteen million dollars if you join the
company you'll learn from faculty
members from MIT Harvard Stanford and
the University of Michigan implement new
predictive algorithms and solve major
healthcare challenges who said that
noble causes can be exciting if you want
to apply go straight to hell that scale
office in downtown San Jose with over
100 restaurants and coffee shops in the
area in just a few minutes away from the
Caltrain fun this wraps up our list of
the best startups to work for in 2019
now you're in the know about what all
the superhero startup teams above have
to offer so no matter if you choose to
apply for a data science job in a
start-up or you aim for that corner
office at a large corporation we're
confident you'll make an informed
decision if you do choose to go off the
beaten path however you may just find
what you're looking for
all right everyone keep growing your
skills and good luck
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