Company Overview Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet.

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods;

collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.

Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores.

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices.

We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans.

Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

We are looking for senior-level Data Scientists to join our Data Engineering, Science, and Analytics team. Do you thrive at applying data science to solve business problems?

As a data scientist, you will have ample opportunities to apply your data science skillset to unlock vast business opportunities by extracting key insights using a wide range of data sources, advanced statistical models, and machine learning algorithms and translating results into meaningful, goal-oriented business actions.

Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.

Responsibilities :

• Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects.
• Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis.
• Help build data-informed business strategy and roadmaps.
• Translate business needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities.
• Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives.
• Work closely with data engineers to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness.
• Lead the development of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience.
• Establish playbooks to drive process and consistent outcomes.
• Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.

Qualifications :

• Master’s or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Physics, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
• 6+ years of professional experience as a data scientist.
• Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as PyTorch.
• Proficient in wrangle and analyze data with complex relationships and time scale.
• Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical modeling.
• Experience in using data visualization and dashboard tools.
• Working experience in cloud-native technology.
• Experience working with large structured and unstructured datasets stored in relational and NOSQL databases.
• Out of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-driven solutions that deliver meaningful business impacts.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.

The following is a plus :

• Proficient in other languages, such as R, used in data science.
• Basic knowledge of data engineering and MLOps.
• Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering.

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants.

Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address.

For added security, where possible, apply through our company website at Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow.

The ball is in your court now.Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS / APPLICANTS : In connection with your application, we collect information that identifies, reasonably relates to or describes you ( Personal Information ).

The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.

We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

For additional information on how we collect and use personal information in connection with your job application, review our

Pay rate range - $73 / hr. to $76 / hr. on W2

Hybrid role

Job Description :

seeking an experienced Data Scientist to join the Product, Data, and Technology team.

You will play a key role in analyzing critical business operations and developing state-of-the-art techniques to optimize and quantify the impact of complex business processes and decisions.

Key subject areas include advertising inventory forecasting and yield optimization, causal impact, and opportunity cost analysis.

This role is ideal for someone that combines strong data analysis experience with the implementation of data science models that create business impact as well as superb stakeholder communication.

There is a level of complexity with some of the problems the team is working on that need a Data Scientist and statistical analysis expertise to solve.

Problems include advertising inventory forecasting, metric problems and questions around incremental values and specific actions and opportunity costs of shifting marketing impressions from one platform to another.

Must Have

Statistical Analysis

Forecast Model Building

Experience working with large data

Work Mode : Onsite

Onsite

Responsibilities :

Welcome to Lightspeed LA (Irvine), the first , AAA game development studio for Tencent Games, where we are focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling!

Why join Lightspeed Tech Center?

Creation is the soul of our studio. For us, it’s not only about the exciting, new AAA open world game we’re developing, but also about team values and studio culture.

We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games.

• We encourage the showing of work that’s still in progress
• We don’t attack or question unfinished work, we celebrate its promise
• We have a No Blame Culture where we blame the problem, not the person

This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and exploring new ideas.

We create together. We face challenges together. Most importantly, we succeed together.

LightSpeed LA is seeking a talented and enthusiastic Data Scientist to join our support teams at Tech Center in Los Angeles, California.

The ideal candidate will have a strong passion for games and enable content creators to deliver the most polished experience for our players.

Join our team of industry veterans and help us build a team and culture of respect that pushes boundaries while having lots of fun.

Responsibilities :

• Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving.
• Response for deep statistical analysis from large-scale data, mining for user behavior and attributes, building user portraits.
• By datamining and analysis, solving user pain point and proposing strategies improving user retention.
• Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions.
• Research on recommendation algorithm or matching algorithm in gaming environments.

Requirements : Requirements :

Requirements :

• Familiar with basic and latest research results in data mining, with a strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects.
• Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them.
• Proficient in at least one programming language, familiar with basic data structures and algorithms.
• Higher priority for candidates familiar with graph models, including community discovery, graph embedding influence diffusion models.
• Higher priority for candidates familiar with causal inference or optimization algorithms.
• Higher priority for candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc.
• Higher priority for candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations.

And candidates with better mathematics background are in favor.

Strong self-driven ability, team cooperation ability, anti-pressure ability and studious candidates is preferred.

Location State(s)

CaliforniaThe base pay range for this position in the state(s) above is $107,400 to $196,900 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience.

A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and / or other benefits, dependent on the specific position offered.

ROLE : - Data Scientist

DURATION Contract

LOCATION : - Sunnyvale, CA

Job Description :

Python Reprocessing, Feature extraction, Aware of Machine learning. SQL, Data visualization

o Algorithm, SQL , Data Virtualization

Regards

Shubham Singh

IDC Technologies, Inc

Direct No : 408-834-4972

Mailto : [email protected]

Empowering Technologies Services

Remote Services IT Services BPO

IT Consulting Staffing Solutions

Job Description

We are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Glendale, CA.

The Senior Data Scientist will have demonstrated his / her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.

The role will lead the people, process and tool choices that support the efforts to build and deploy models that explain the real world, using a must-have combination of intuition, math and programming (Python / R and SQL are mandatory).

She / He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components and executing against that vision.

As part of the role is to mentor data scientists and analysts, you love working with the team on any mix of issues that come to light such as in-depth technical / code reviews, hackathons, or whiteboarding to break down problems from multiple angles.

Responsibilities

• Exceptional verbal and written skills to convey ideas, problems and solutions
• Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed
• Responsible for designing team processes and applying design patterns that apply statistical and model rigor
• Balance design choices with calculated trade-offs and revisit proactively
• SME on algorithms and designs code that can be refactored easily by a data engineers
• Builds repo and maintains a library of models that can be applied / refactored on similar design patterns
• Expert in both unstructured and structured data set ingestion and classification, regression, deep learning etc.
• Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value
• Owns the Confluence knowledge repository and GitHub model repo
• Refresh, troubleshoot and update models as needed.
• Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets
• Coordinate design and architecture with data engineering resources

Compensation

Base Pay Range : $140,000 - $180,000

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.

Base pay is one part of our total awards approach to compensation which is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses or incentives.

Qualifications

• Bachelors / Masters in STEM fields such as physics, social / economics, or business with a strong technical acumen required
• Masters in Comp Science + 4 years of experience or PhD STEM degree preferred
• Alternative to education, 6+ years of experience as contributor / leader

Knowledge Skills & Abilities

• Strong verbal communication skills : ability to effectively communicate cross functionally; experience as a DS team lead or department head of data science
• Strong command of applied math (linear / matrix functions) with deep learning theory and practice; Both frequentist or Bayesian welcome
• Proficiency with programming and scripting languages : Python / R, SQL and C# / ++
• Experience with analytic frameworks and open source libraries
• Passionate about thinking through problems and solving them
• Realistic view of AI and understanding of how to use deep learning in real-world situations
• Exceptional programming skills (Python, SQL, C++) in a production environment is required

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Additional Information

All your information will be kept confidential according to EEO guidelines.

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