Transmission

Senior Data Scientist

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Wildlife Studios

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Wildlife's Cloud Economics team in São Paulo, Brazil seeks a Data Engineer to build and maintain a data lake, consolidating information from various sources.  Responsibilities include ETL processes, enhancing data discovery, identifying unused data for optimization (sampling, deletion, storage migration), proposing data modeling improvements (table partitioning, migrating to delta tables), and developing a cost allocation data lake for major technology providers.  The ideal candidate is highly analytical, proactive, and results-oriented, contributing directly to company success.  This role demands strong SQL and Python programming skills, AWS experience, and knowledge of Airflow or similar workflow tools.

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 We're looking for a talented and passionate Data Engineer to join Wildlife's Cloud Economics team in São Paulo, Brazil.
The mission of the Cloud Economics team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to the usage and/or provisioning of technology resources.&nbsp;
As a Data Engineer, you will be responsible for gathering all the information needed into the data lake; build and maintain such a lake permanently. You will also play a key role in developing the analyses and algorithms that identify the patterns and type of usage of our data that allow us to find opportunities to improve its usage and storage.
We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a "take the initiative" environment, loves solving problems, and can thrive in a fast and growing business.&nbsp;
<h2>What you’ll do</h2>
<ul>
<li>Be part of a high-output team, directly contributing to company results;</li>
<li>Build the required date lakes and do the corresponding ETL in order to be able to consolidate and query information about multiple data sources;</li>
<li>Enhance our data discovery capabilities;</li>
<li>Identify unused data and propose how to handle it (sampling, deletion, move to colder classes of storage);</li>
<li>Find and propose data modeling optimizations across the data lake to avoid inefficiencies like duplicated data, data normalization, data types, etc. (table partitioning, migrating to delta tables);</li>
<li>Develop an internal cost allocation data lake for our most significant technology providers.</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;</li>
<li>Solid experience working as a data engineer on technically challenging problems;</li>
<li>Proficiency in programming with SQL and Python;</li>
<li>Experience creating data pipelines;</li>
<li>Knowledge and experience with AWS;</li>
<li>Knowledge and experience with Airflow or other workflow management tool is a differential.</li>
</ul>
<h2>More about you</h2>
<ul>
<li>You are a resourceful person with a go-getter attitude;</li>
<li>You are passionate about the data industry and thirsty for innovation;</li>
<li>You are not afraid to propose and explore new initiatives;</li>
<li>You are a determined and metrics oriented engineer who wants to deliver results;</li>
<li>You have an analytic mindset and focus on ensuring visibility to your clients and peers;</li>
<li>You are passionate about working on and solving problems;</li>
<li>You are a team player. You're willing to help out wherever needed.</li>
</ul>
<h2>About Wildlife</h2>
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
<h2>Equal Opportunity</h2>
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
We're committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

 

 
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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

Senior Data Scientist needed to design & implement ML models in AWS & Snowflake. Must have proficiency with SQL, Python, R, APIs, and experience with large datasets. Experience with multi-channel attribution and propensity modeling is a plus.

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 About the job
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 About the Agency: We are the world’s largest independent global B2B marketing agency, where curious minds create the future. This is where you will find thought provoking, ego-quashing, mistake learning, all including, convention breaking, and always growing marketers with a passion for what they do. Recent accolades include Large Agency of the Year 2022, Global ACE Awards Gold winner 2022, and being on the Sunday Times Fast Track 100 list. We’re curious—about change, about that next opportunity, and about you. And we’re building a place for people with the creativity and camaraderie to enjoy life at Transmission and help write our future. The Role We are looking to hire an experienced data scientist to join Transmission and help design and implement machine learning models within our AWS and Snowflake ecosystem. This includes monitoring performance and streamlining reporting processes. What You’ll Do: <ul><li>Hands-on with data science and machine learning projects</li><li>Understand Transmission’s current analytic capabilities and access to media platforms</li><li>Develop requirements and collaborate with analytic team leaders to integrate analytic solutions into Transmission’s or client product platforms.</li><li>You will be able to analyse client 1st party marketing interaction data and connect with 3rd party data sets.</li><li>Integrate APIs seamlessly to ensure smooth data flow and application functionality.</li><li>Use your data science experience to identify the best analytic approach to solve complex marketing problems facing B2B clients including:</li><li>Create &amp; deploy proprietary audience propensity models for media teams within the digital media activation ecosystem</li><li>Demonstrated knowledge of multi-channel attribution to see each channel’s value and importance for a campaign</li><li>Experience in working within Media platforms to implement custom audience segmentation.</li><li>Experience in A/B testing within web, email, and advertising utilities.</li><li>Consult and approve ETL and data architecture within Transmissions client data lake</li><li>Design, develop, and evaluate unsupervised, supervised, and reinforcement machine learning algorithms.</li><li>Development of multi-channel marketing dashboards &amp; visualizations including management of data streams through ETL / Data connectivity platforms.</li></ul>
 What You’ll Bring: <ul><li>Demonstrated proficiency working with business and technical teams to integrate algorithms into platforms using large datasets</li><li>Expert statistics skills such as distributions, stat sig testing, sample sizing, regression, etc.</li><li>Strong organizational, communication, and presentation skills</li><li>Proven ability in handling concurrent projects with attention to detail and accuracy</li><li>Familiarity with digital and media analytics</li><li>Master's degree in computational, mathematical, engineering, or scientific field</li><li>More than 5 years of industry experience in areas such as data science, machine learning, artificial intelligence, and statistics application</li><li>Mastery of the following languages SQL, Python, R, etc. a Must.</li><li>Strong knowledge and experience working with APIs, particularly RESTful APIs.</li><li>Proficient with AWS cloud services and Snowflake warehousing infrastructures</li><li>Experience manipulating structured and unstructured data sets</li><li>Ability to join, explore, and establish quality checks on data from various disparate sources</li><li>Capable of reducing vast amounts of unstructured data into manageable inputs that provide actionable insights</li><li>Ability to apply techniques to data with missing values, outliers, and inconsistent formatting</li></ul>
  Benefits &amp; Perks <ul><li>20 days annual leave, which increases by 1 day for every year with us (up to 25 days)</li><li>Learning &amp; development program- An allowance to empower and support you in your professional development. Access to the complete suite of the LinkedIn Learning portal.</li><li>Flexible benefits</li><li>Hybrid Work Model: We've adopted a flexible hybrid working environment.</li><li>Birthday celebration and day off</li><li>Medical and vaccine/booster leave</li><li>Dedicated learning and development program for every member of staff</li><li>Company Culture Committee covering wellness, D&amp;I, CSR and social – lots of initiatives.</li><li>Team events (get together and enjoy with the team) and stuff to get involved with!</li><li>Working with a young, vibrant team in a globally renowned co-working environment</li></ul>
 We’re smart. And have a constant urge to learn more. We encourage questions and innovative mindsets. At the same time, we value empathy and collaboration over ego. The most rewarding outcomes are achieved together. We’re fearless. We celebrate the diversity of thought and experiences. We push boundaries. We’re not afraid of failure. We welcome it because learning from mistakes is how we grow as people and as a company. We’re transparent. We earn trust by showing respect and being honest. We value the breadth and depth of each person and their story. We form a happier, healthier, more confident team because we’re open with each other and have unique ways of thinking. This is how we drive your now and define your next. Come join us. Transmission is an Equal Opportunities Employer. We are committed to fostering an inclusive workplace and your race, gender, sexual orientation, age, or disability have no influence on our hiring decision.
 
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