Senior Data Scientist - Playtika
- חברה: Playtika
- מיקום: הרצליה
תיאור המשרה
Join us at Playtika (NASDAQ: PLTK), where we're driven by the belief life needs play. We’re on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide.
From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence.
Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA.
With a strong financial foundation, disciplined operations, unwavering player-focused approach and relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us.
Playtika
(NASDAQ: PLTK) is a mobile gaming entertainment and technology market leader with a portfolio of multiple game titles. Founded in 2010,
Playtika
was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play,
Playtika
has offices worldwide and over
3
,000 employees.
Playtika
is looking for
a
Senior
Data Scien
ce
to join the
Data &
AI Department.
This position is based in
Herzliya
,
Israel
.
We are looking for
people with exceptional soft skills and outstanding hard skills
.
W
e
love to
address complex intellectual challenges and
make sense of
high dimension
al
and
dynamic
al
data
that
impact
the game experience of
millions
of
players.
You will join a multidisciplinary
team
focusing on
personalization using
reinforcement learning
(
RL
)
methods
.
We use strong statistical fundamentals with
SOTA
algorithms
and
cutting-edge
technologies
to provide a better experience for our players.
Over the last few years
,
we have
developed
a real-time recommendation engine based on Bayesian multi-armed bandits (see ou
r public
pybandit
library
)
.
Our solutions translate directly to
production
(as part of
a product
) and
serve the
business needs from different use-cases
&
multiple studios.
Responsibilities
Conduct
a
full
data driven research
including problem definition, data collection and validation, model development, evaluation, and deployment
Analyze &
demonstrate
the impact of
your
solutions in real-time production
environment
Collaborate with cross-functional teams (engineers, BI, product) to develop, test, and deploy
your
models quickly and effectively
Propose & contribute to scientific papers, blogs, conferences, etc.
Mentor DS/MLE colleagues and act as DS Subject Matter Expert within the organization
Qualifications
M.Sc
or
Ph
.
D
in
Computer Science, Mathematics,
Statistics
,
Engineering
or
a
related
field
4
+ years of work experience
Strong
problem-solving
and scientific reasoning
skills
, to efficiently shape and drive complex data science projects
Deep theoretical and practical knowledge of
machine learning
Proficiency
in Pyt
hon
,
w
orking experience with
PyMC
is an
advantage
Excellent
verbal and written communication skills
, with the ability to explain complex technical concepts to
non-technical audiences
(e.g., product managers, business domain experts, executives)
Team player
Nice to have
RL background
(
e.g.
multi-armed bandits)
–
strong advantage
Proficiency
in SQL, working experience of GIT
Experience in the gaming industry
We are an equal opportunity employer and value diversity at our company.
We do not discriminate
based on
race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
.
Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice.
By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you feel the above describes you perfectly - Apply now!
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תחומי אחריות
Conduct a full data driven research including problem definition, data collection and validation, model development, evaluation, and deployment
Analyze & demonstrate the impact of your solutions in real-time production environment
Collaborate with cross-functional teams (engineers, BI, product) to develop, test, and deploy your models quickly and effectively
Propose & contribute to scientific papers, blogs, conferences, etc.
Mentor DS/MLE colleagues and act as DS Subject Matter Expert within the organization
דרישות
.