ISOCRATES Inc

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 with 5+ years experience in data & predictive analytics. Expertise in Generative AI, Large Language Models, and NLP. Strong understanding of digital advertising and data. Experience with programmatic, auction-based media systems.

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 About the job
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 About iSOCRATES iSOCRATES advises on, builds, manages, and owns mission-critical Marketing, Advertising and Data platforms, technologies, and processes as the Global Leader in MADTech Resource Planning and Execution™ serving publishers, marketers, agencies and enablers. iSOCRATES has two lines of business: Products (MADTechAI™) and Services (Consulting: Strategy and Operations; Managed Services). MADTechAI is the Unified Marketing, Advertising and Data Decision Intelligence Platform. Purpose-built to Deliver Speed to Value serving B2C and B2B marketers, agencies, publishers, and their enablers. iSOCRATES is staffed 24/7/365 with its own proven specialists who save partners money, time, and achieve transparent, accountable performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. The company is headquartered in Saint Petersburg, Florida, U.S.A. with its global delivery centers in Mysuru and Bengaluru, Karnataka, India. Job Description: iSOCRATES is looking to add a Senior Data Scientist to its growing Data Science team. The Senior Data Scientist will defines, describes, architects, reports on, analyzes, predicts, and proscribes all audience, campaign and related programmatic media trading data as well as select partner-focused Managed Services and Outsourced Services on behalf of select supply-side and demand-side partners.The Senior Data Scientist will support teammates in their day-to-day media trading desk activities across a variety of digital and offline media channels including, but not limited to display, mobile, video, social, native, and advanced TV/Audio ad products. Responsibilities: <ul><li>Hands-on experience with media and marketing data and analytical teams.</li><li>Hands-on experience with structured and unstructured audience, pricing and contextual data, analytics and reporting.</li><li>Hands-on experience with various rigorous statistical, econometric and Big Data methods to define requirements, design analytics solutions, analyze results, identify problems/opportunities, and optimize economic outcomes.</li><li>Expertise in propensity modeling, MTA (Multi-Touch Attribution), RFM (Recency, Frequency, Monetary) analysis, non-parametric methods, and Bayesian statistics.</li><li>Hands-on experience in Generative AI, Large Language Models and Natural Language Processing.</li><li>Hands-on experience architecting and managing dynamic data from multiple disparate sources Experience supporting programmatic, audience, CRM, DSP, DMP, and SSP systems is required.</li><li>Strong analytical, data modeling, audience and price action data-focused sensibilities and skills is a requirement.</li><li>Hands-on knowledge of DSPs, SSPs, DMPs is desired along with good understanding of integrating digital advertising and marketing data as it relates to creation, implementation, analysis, modeling, yield and optimization of supply and demand.</li><li>The ability to manage your own work, multitask and work well with U.S., offshore and local team members is also required to be successful in this position.</li><li>Excellent communication skills in English are required plus English presentation and partner relationship building skills is required.</li><li>Designs and delivers actionable partner-focused results proactively and on-demand.</li><li>Conceptualizes, architects, builds, manages and delivers unique, innovative data-driven media, marketing, analytics and reporting solutions for use by the Data Science team, iSOCRATES teams and iSOCRATES partner including the automation of iSOCRATES products.</li><li>Data requirements, relationships, design, architecture, models, management and evolution.</li><li>Data collection implementations, management, quality assurance, validations and optimizations.</li><li>Design and architecture of data collection, storage and analytics systems, specification, deployment and use of tools for in- depth, complex analysis, predictive models, reporting and visualization builds, deployments, management, maintenance and optimizations.</li><li>Work directly with the Product and System development teams to design products for partner and operations on systems architected, implemented and managed by the data and analytics, development and support teams.</li><li>Key deliverables for this role will be to analyze audience profiles, segments and attributes, revenue, value, bid behavior, bid density, and anomalous trading behavior as well as opportunities to create tradeable ad products and approaches.</li><li>Working directly with DMPaaS, Traders, Yield, Operations, Finance, Sales, Business Development, Product, Development, Data Science team members to ensure reliable data quality, completeness, predictions and yield.</li><li>Additional deliverables for this role will be to analyze ad inventory, eCPM, fill rate, audiences, and anomalous trading behavior as well as opportunities to create tradeable ad products and approaches.</li><li>Designing analytics dashboards and visualizations to monitor performance and develop optimizations of programmatic and audience informed media campaigns across business partners’ media channels: Website, Mobile Applications, Social Media platforms and more.</li><li>Creating and delivering digital media audience insights and opportunities via advanced predictive modeling and analysis with the goal of offering real-time insights to key stakeholders ensuring campaigns are effectively analyzed for successful performance as well as keeping internal teams informed of overall company and business partner performance patterns and opportunities.</li></ul>
 Qualifications: <ul><li>Graduate or Master’s and/or Ph.D., required in Statistics/Engineering/Science/Business Mastery of math, statistics.</li><li>Hands on Data collection, storage, management, mining and modeling, business intelligence, digital analytics and tools, marketing science (effectiveness and attribution), media research (RFM), web analytics (Google and/or Adobe), logistic regression, customer segmentation and lifetime value, persona building, scoring, Bayesian methods, parametric and non-parametric methods, and Machine Learning/Deep Learning (i.e., Python, R, mldb.ai, scikit and related ML libraries, Hadoop, Spark, MySQL, APIs, AWS S3).</li><li>At least 5+ years in Data and Predictive analytics design, build, modeling, mining, analysis, reporting and optimization with Publisher-side and/or Agency experience at data/tech provider, major media firm and/or Agency and/or Exchange and/or Ad Network.</li><li>Minimum 3 years of experience In Generative AI, Large Language Models and Natural Language Processing.</li><li>Minimum 2 years Publisher and/or Advertiser Audience Data Analytics and Modeling experience desired.</li><li>Experience in data architecture, databases, ETL, SQL, analysis, reporting and visualization, cloud-based distributed computing and predictive modeling is required.</li><li>Strong understanding of digital advertising and digital data: website and email display advertising, social media, audience identification and targeting, etc.</li><li>Experience building first-party and second-party data strategies including creation of hierarchies and first-party data attributes and segments. Experience designing, building, targeting and managing DMP-based Audience Segments from 1st/2nd/3rd Party.</li><li>Data Experience with at least some of the following programmatic, auction-based media systems: AppNexus, Salesforce Audience Studio (formerly known as Salesforce DMP), Adobe Audience Manager, Oracle Audience Manager, LOTAME, Google DFP/DFA/DBM, AdX, TMS, Analytics, FreeWheel, JW Player, tag creation and tag management, Operative, The TradeDesk, MediaMath, Beeswax, meta-DSPs, and/or multi-SSP configurations.</li><li>Interest and ability to work in a fast-paced operation on the analytics and revenue side of our business.</li><li>Open for relocation to Mysuru / Bengaluru</li></ul>

 
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