Data Scientist, The Sims™

Requisition Number: 175054

Position Title: Data Scientist I

External Description:

About the Role:

At Maxis, creator of The Sims™, we thrive on outrageous thinking. It’s the fuel that inspires the best life simulation games in the world. We’re innovators and great storytellers. But it’s not just about amazing your peers—it’s about amazing yourself and our fans. Take risks, collaborate with brilliant minds and dare to dream big. Together, we can impact millions of players every day.

As a Data Scientist on The Sims franchise, you’ll be handed the keys to massive volumes of player behavioral data and responsible for maintaining, iterating on, and developing data products that meaningfully inform game design, feature prioritization, and product development. 

You’ll be working with a large but tight-knit studio of enthusiastic industry craftspeople from all walks of life. You’ll also join a group of experienced data scientists, analysts, and data engineers as a member of the embedded-and-dedicated Studios Data and Insights (SDI) team.

The Sims 4 has an extremely unique player base, attracting a large, young, female-skewing audience. If you’re excited about creating the best possible experience for these players, come join us!

Responsibilities:

• Research and implement applications of machine learning that unlock player personalization and facilitate game developers’ decision making; strive to generalize your work for broader use wherever possible; 
• Analyze and develop explanatory, predictive, and prescriptive models using appropriate mathematical methods like Bayesian statistics, time-series analysis, supervised and unsupervised machine learning methods, semantic analysis, and natural language processing;
• Work with (and improve) our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Airflow, Apache Kafka, Ruby & Hive; 
• Derive actionable insights from data and communicate them throughout the organization in a clear, concise way;
• Learn, implement and share new methodologies with our broader team. Serve as a technical mentor for junior team members. 

Qualifications and Required Experience:

• 2+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems;
• Preference for experience with some of the following methods:
• Recommendation models; matrix factorization, collaborative filtering, k-means clustering, hierarchical clustering, bag of words models, TFIDF, random forest, linear regression, logistic regression, neural networks
• Master’s degree in a quantitative field;
• Expert-level SQL;
• Advanced experience with Python (preferred) and/or R;
• Fast learner; views challenges as opportunities; tenacious and focused 
• Understands the importance of good documentation and transferability of knowledge;
• Evangelist for data democratization and empowerment of non-technical partners;
• Able to create compelling communications and translate complex technical topics to non-technical partners;
• Experience with any of the following is a big plus:
• Application deployment using AWS, Virtual Machines, Airflow, Docker
• Familiarity with Looker and LookML development

City:

State:

Community / Marketing Title: Data Scientist, The Sims™

Company Profile:

Electronic Arts Inc.は、インタラクティブ・エンターテイメント・ソフトウェアの世界的大手企業です。 EAは、インターネットに接続されたコンソール、パソコン、携帯電話、タブレットに対してゲーム、コンテンツおよびオンラインサービスを提供しています。

EEOText: EAは雇用機会を均等に提供します。 雇用に関する決定を下す際は、人種、肌の色、国籍、出身国、出身民族、身体的性別、社会/文化/心理的性別、性別自認または性別表現、性的指向、年齢、遺伝情報、宗教、身体障害、病状、妊娠、婚姻状況、家族状況、軍役経験の有無、および法律で保護されたその他のあらゆる状況は考慮されません。 また、犯罪歴のある人物の雇用も、募集要項を満たす応募者の場合は適用法令に従って検討します。 さらにEAでは、身体に障害のある方々のために、適用法令によって定められた職場環境を整えることも行っています。

Days Open: 14

Can this position be remote?: 0

EEO Employer Verbiage:

EAは雇用機会を均等に提供します。 雇用に関する決定を下す際は、人種、肌の色、国籍、出身国、出身民族、身体的性別、社会/文化/心理的性別、性別自認または性別表現、性的指向、年齢、遺伝情報、宗教、身体障害、病状、妊娠、婚姻状況、家族状況、軍役経験の有無は考慮されません。 さらにEAでは、身体に障害のある方々のために、適用法令によって定められた職場環境を整えることも行っています。