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ATG Entertainment USA

<div>
 
 
 POSITION: Data Scientist
 
 
 
 
 LOCATION: REMOTE (San Antonio, Detroit, New Orleans)
 
 
 
 
 HOURS: Full-Time, Non-Union. 40hrs/week
 
 
 
 
 COMPENSATION: $80k - $100k (Commensurate with Experience)
 
 
 
 
 
 
 
 
 ABOUT THE POSITION
 
 
 
 As a Data Scientist, you will develop and improve machine learning models that support customer personalization and marketing effectiveness across our CRM and digital channels. Working under the guidance of a Senior Data Scientist, you will focus on modelling, experimentation, and analysis, helping turn customer data into practical, measurable improvements in engagement and conversion.
 
 
 
 
 
 This role is hands‑on and analytical, with clear ownership of model development and testing, while deployment and serving are handled in partnership with ML Engineers. You&rsquo;ll work closely with CRM and Marketing teams to ensure models are well understood, correctly applied, and delivering real business impact
 
 
 
 
 
 PEOPLE, PLACES, AND THINGS
 
 
 <ul>
 <li>
 Contribute to designing, scaling/building, evaluating, integrating, and refining machine learning models.
 </li>
 <li>
 Collaborate with Marketing and Engineering across the US and UK to define how machine learning underpins personalized customer communications.
 </li>
 <li>
 Build reusable science infrastructure, design and build production-grade measurement systems and establish robust evaluation frameworks.
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE AND SKILLS
 
 
 <ul>
 <li>
 3+ years&rsquo; experience as a Data Scientist building and improving predictive models used in real products or decision‑making.
 </li>
 <li>
 Degree in a quantitative field (e.g. Computer Science, Statistics, Mathematics, Operations Research) or equivalent practical experience.
 </li>
 <li>
 Strong skills in Python and applied machine learning, with good coding practices and a focus on clear, maintainable analysis.
 </li>
 <li>
 Experience developing and evaluating models such as propensity, segmentation, or recommendations, from problem definition through to measurement.
 </li>
 <li>
 Comfortable designing and analyzing experiments (A/B tests, holdouts, offline validation) to understand model impact.
 </li>
 <li>
 Experience working with modern data stacks (e.g. SQL, Snowflake/dbt) to prepare features and analyze large datasets.
 </li>
 <li>
 Familiarity with how models are taken into production, including collaboration with ML Engineers and awareness of concepts like versioning and monitoring.
 </li>
 <li>
 Bonus: experience applying data science in CRM, marketing, or personalization use cases.
 </li>
 </ul>
 
 
 
 
 BENEFITS
 
 
 <ul>
 <li>
 Medical, Dental and Vision Insurance
 </li>
 <li>
 401k Match
 </li>
 <li>
 Paid Vacation &amp; Holidays
 </li>
 </ul>
 
 
 
 
 
 ATG-Entertainment: Passion Behind Performance
 
 
 
 
 
 
 ATG Entertainment is a world leader in live entertainment. Our portfolio of venues includes historic theatres, studio theatres, cinemas, conference spaces, and modern live music arenas. ATG Entertainment own, operate or program 64 of the world&rsquo;s most iconic venues across the UK, the US and Germany entertaining over 18 million audience members each year.
 
 
 
 
 
 
 ATG Entertainment: IDEA Mission Statement
 
 
 
 
 
 
 At ATG Entertainment, our commitment to inclusion, diversity, equity, and access (IDEA) is reflected in our IDEA mission statement: A stage for everyone. Our stages are a platform for compelling stories &ndash; stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are committed to strengthening the sense of belonging by ensuring diversity and equity in everything we do. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves, and everyone feels they belong. At ATG Entertainment, we provide a stage for everyone.
 
 
 
</div>

Data Scientist

M1 Technology LLC

<div>
 M1 is looking for a Data Scientist to apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores.
 
 
 
 RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
 </li>
 <li>
 Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency.
 </li>
 <li>
 Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.
 
 
 </li>
 </ul>
 
 REQUIRED SKILLS
 
 
 
 <ul>
 <li>
 Demonstrated experience with ECL and HPCC.
 </li>
 <li>
 Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor.
 </li>
 <li>
 Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
 </li>
 <li>
 Demonstrated experience using computer languages (e.g., Python, R, Pig, Java, C, SQL) to perform large scale parallel processing of data.
 </li>
 <li>
 Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.
 
 
 </li>
 </ul>
 
 PREFERRED SKILLS
 
 
 
 <ul>
 <li>
 Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
 </li>
 </ul>
</div>

SoFi

<div>
 
 Employee Applicant Privacy Notice
 
 
 
 
 Who we are:
 
 
 
 Shape a brighter financial future with us.
 
 
 Together with our members, we&rsquo;re changing the way people think about and interact with personal finance.
 
 
 We&rsquo;re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;s lives, with our core values guiding us every step of the way.
 
 Join us to invest in yourself, your career, and the financial world.
 
 
 
 
 The Role
 
 
 
 The Risk Data Science team is looking for a Data Scientist/Senior Data Scientist to develop advanced machine learning and statistical models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, portfolio management, loss mitigation, and loss forecasting etc. These tasks involve researching and applying state of the art modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business&rsquo; profitability.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Develop, implement, and continuously improve machine learning and statistical models that support various credit, risk, and operational procedures including but not limited to underwriting, portfolio management, loss mitigation, and loss forecasting, etc.
 </li>
 <li>
 Present model performance and insights to Credit, Risk, and Business Unit leaders.
 </li>
 <li>
 Proactively identify opportunities to apply advanced modeling approaches to solve complex business problems.
 </li>
 <li>
 Explore and leverage in-house and external data sources to enhance model predictive power.
 </li>
 <li>
 Collaborate with the Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements.
 </li>
 <li>
 Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
 </li>
 <li>
 Collaborate with the Product and Engineering teams to improve the model development, deployment, monitoring, and model re-calibration/re-build process..
 </li>
 <li>
 Explore and apply in-house and open-source machine learning and statistical tools and algorithms to develop and improve models.
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Statistics, Econometrics, Mathematics, Operations Research, Physics, Computer Science, Engineering, or quantitative field required. PhD degree preferred.
 </li>
 <li>
 2+ years of relevant work experience in building and implementing machine learning and statistical models.
 </li>
 <li>
 Excellent logic reasoning and communication abilities when interpreting business requirements and translating them into effective data solutions.
 </li>
 <li>
 Strong skills in writing efficient SQL queries and Python code to create complex attributes, especially with large datasets.
 </li>
 <li>
 Strong sensitivity to details in data and proactively investigate them to uncover unknown patterns.
 </li>
 <li>
 Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
 </li>
 <li>
 Demonstrated sophisticated experience in building efficient and reliable pipelines that interact with large datasets stored in SageMaker and Snowflake, automating recurring processes such as data extraction and processing, feature selection, model training, model monitoring, and generating documentation templates to support reproducibility and cross-functional collaboration.
 </li>
 <li>
 Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but are not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously following the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies
 </li>
 <li>
 Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.)
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 
 <ul>
 <li>
 Experience in a lending organization.
 </li>
 <li>
 Experience with model documentation and delivering effective verbal and written communication.
 </li>
 <li>
 Experience in working closely with Product, Engineering, and Model Risk Management teams.
 </li>
 <li>
 Experience with AWS or GCP.
 
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate&rsquo;s experience, skills, and location.
 
 
 To view all of our comprehensive and competitive benefits, visit our
 
 Benefits at SoFi
 
 page!
 
 
 SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
 
 
 The Company hires the best qualified candidate for the job, without regard to protected characteristics.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 New York applicants: Notice of Employee Rights
 
 
 SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
 
 
 Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
 
 
 
 Internal Employees
 
 
 
 If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
</div>

Cinemark

<div>
 
 Join Our Team
 
 
 
 As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
 
 
 
 Role Summary
 
 
 
 As part of the Data Science group, which is the advanced analytics service arm for Cinemark, the Data Scientist is responsible for development and application of analytic methods for solving business problems and deriving consumer and business insight. The Data Scientist has an enterprise focus supporting the key business objectives and core business functions of the organization.
 
 
 The highest priority requirement of a Data Scientist is curiosity and personal drive to over-deliver on internal stakeholders&rsquo; needs for analysis and insight. The Data Scientist will have open access to all forms of enterprise data and scope of work covers basic to advanced numerical methods including modeling and simulation. Regression, classification, optimization and machine learning all potentially play a role in this function. This is truly an amazing opportunity to be on the ground floor of designing and building the decision sciences competency for a multi-billion-dollar entertainment operation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, optimize, and automate end-to-end pricing implementation workflows to reduce manual effort, improve speed-to-market, and ensure pricing accuracy across systems and channels
 </li>
 <li>
 Develop and implement analytical solutions using established numerical and statistical methods, including predictive modeling, segmentation, optimization techniques, and basic machine learning, to support pricing processes.
 </li>
 <li>
 Apply statistical best practices by understanding data limitations, variance, and uncertainty, and ensuring analyses and automated outputs are appropriately validated.
 </li>
 <li>
 Perform work and analysis for a &lsquo;multi-channel&rsquo; environment applying analytics to online and offline environments.
 </li>
 <li>
 Research and develop new forms of analytic methods applicable to relevant business objectives.
 </li>
 <li>
 Duties and responsibilities include but are not limited to consumer insights including all relevant customer behavior analysis, product and promotion testing, real estate, concessions (merchandise) performance and allocation.
 </li>
 <li>
 Produce compiled data, reports and &lsquo;visualized&rsquo; results for all levels of the organization.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 MS in Statistics, Math, Engineering, Computer Science, Operation Research or related degree with 3-5 years&rsquo; experience
 </li>
 <li>
 3+ years of hands-on experience and proficiency with the following areas
 </li>
 <li>
 Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch
 </li>
 <li>
 Statistical Modeling
 </li>
 <li>
 Knowledge of Classification Systems, Recommendation Systems, Predictive Modeling
 </li>
 <li>
 Objective evidence of advanced SQL capability, querying large, complex datasets using relational databases
 </li>
 <li>
 Proven analytical capability with intermediate to advanced knowledge of statistics as it relates to all aspects of data set analysis including error, experimental design
 </li>
 <li>
 Experience in working with customer data in a retail/entertainment business environment preferred.
 </li>
 <li>
 Visualization tools experience, Power BI preferred
 </li>
 <li>
 Strong data interpretation, visualization and presentation skills
 </li>
 <li>
 Ability to explain statistical approaches/models used, rationale/merits of different approaches, results and interpretation to team members
 </li>
 <li>
 Able to work effectively in a collaborative team environment
 </li>
 <li>
 Familiarity with machine learning
 </li>
 <li>
 Intellectually curious / quick thinker
 </li>
 <li>
 Willingness / ability to take ownership as technical lead of a project
 
 
 </li>
 </ul>
 
 Benefits Available
 
 
 
 At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.
 
 
 <ul>
 <li>
 Employee Discount
 </li>
 <li>
 401(k) Matching*
 </li>
 <li>
 Growth Opportunities
 </li>
 <li>
 Education Assistance*
 </li>
 <li>
 Health Benefits*
 </li>
 <li>
 Parental Leave*
 </li>
 <li>
 Paid Time Off*
 </li>
 <li>
 Daily Pay*
 </li>
 <li>
 Free Movies*
 </li>
 <li>
 Benefits may vary by career category, so be sure to check the specific details on our career site.
 
 
 </li>
 </ul>
 
 DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.
 
 
 
 
 Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 
 
 Cinemark is an Equal Opportunity Employer
 
</div>

IFAB

<div>IFAB Corp is seeking a highly analytical and results-driven Data Scientist to transform data into actionable insights that support strategic decision-making. The role involves working closely with cross-functional teams to analyze complex datasets, develop predictive models, and optimize business processes.
Key Responsibilities<ul><li>
Collect, clean, and analyze structured and unstructured data from multiple sources</li><li>
Develop and implement machine learning models to solve business problems</li><li>
Generate insights and present findings to stakeholders in a clear and actionable manner</li><li>
Build dashboards and visualizations to track key performance indicators (KPIs)</li><li>
Collaborate with business units (e.g., operations, marketing, finance) to identify opportunities for data-driven improvements</li><li>
Conduct A/B testing and statistical analysis to evaluate business initiatives</li><li>
Automate data processes and improve data pipelines for efficiency</li><li>
Ensure data quality, integrity, and governance standards are maintained</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master&rsquo;s preferred)</li><li>
Proven experience in data analysis, machine learning, or predictive modeling</li><li>
Strong proficiency in Python, R, or SQL</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI)</li><li>
Knowledge of statistical methods and data mining techniques</li><li>
Familiarity with big data tools (e.g., Hadoop, Spark) is a plus</li><li>
Strong problem-solving and critical thinking skills</li></ul>
x4I26cVA7g</div>

EXL Service

<div>Job Description: EXL is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders.</div>
 <div><ul><li>Responsibilities: Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
</li><li>Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
</li><li>Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
</li><li>Lead recurring analytical programs with a focus on reproducibility and automation.
</li><li>Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
</li><li>Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
</li><li>Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
</li><li>Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
</li><li>Contribute to the continuous improvement of analytics processes and methodologies.</li></ul></div>
 <div>Qualifications: Core Skills (Required):
<ul><li>Bachelor&rsquo;s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
</li><li>2+ years of hands-on experience in a data science role with a track record of shipping models into production.
</li><li>Extremely proficient in SQL for robust data extraction and analysis.
</li><li>Strong programming skills in Python.
</li><li>Familiarity with Git and code/data version control.
</li><li>Solid statistical foundation
</li><li>Exposure to NLP techniques for processing unstructured survey data.
</li><li>Excellent communication, problem-solving, and critical thinking skills.
</li><li>Self-started and willingness to take on challenging initiatives
</li><li>Effective time management and attention to detail
</li>Familiarity with MLOps concepts 
<li>
</li></ul>Qualifications (Preferred):
<ul><li>Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
</li><li>Industry experience in Sports or Media.
</li><li>Familiarity with additional data analysis and visualization tools.
</li><li>Advanced statistical analysis and modeling skills.
</li><li>Familiarity with data science governance practices</li></ul></div>

Crosby

<div>
 
 About Crosby AI
 
 
 
 Crosby is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together &mdash; delivering speed, consistency, and quality across high-stakes work.
 
 
 Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.
 
 
 Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.
 
 
 
 The Team
 
 
 
 The Engineering team builds the core systems and infrastructure that power Crosby&rsquo;s AI-first legal platform. We work at the intersection of machine learning, product, and legal expertise to deliver intelligent, reliable systems that operate in high-stakes environments.
 
 
 We prioritize speed, ownership, and high standards &mdash; shipping quickly while maintaining rigor in everything we build.
 
 
 
 The Role
 
 
 
 As a Data Scientist at Crosby, you'll play a critical role in developing the models and data systems that power our AI-driven legal platform. You&rsquo;ll work across the full lifecycle &mdash; from data definition and labeling strategy to model development, evaluation, and iteration in production.
 
 
 You&rsquo;ll partner closely with engineers, product teams, and legal experts to translate complex legal workflows into structured machine learning systems. Beyond modeling, you&rsquo;ll help ensure our systems are accurate, reliable, and continuously improving in real-world use.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop evaluation systems: Build metrics, benchmarks, and experimentation frameworks to measure and improve model performance.
 </li>
 <li>
 Drive data strategy: Partner with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.
 </li>
 <li>
 Support production systems: Work closely with engineering to deploy models, monitor performance, and iterate based on real-world usage.
 </li>
 <li>
 Apply AI pragmatically: Leverage LLMs and other modern techniques to solve product problems, balancing sophistication with reliability and speed.
 </li>
 <li>
 Collaborate cross-functionally: Partner with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 1&ndash;5 years of experience in data science, machine learning, or applied NLP, ideally in a fast-paced startup environment
 </li>
 <li>
 Strong foundation in machine learning, statistics, and data analysis, with proficiency in Python
 </li>
 <li>
 Hands-on experience working with LLMs, NLP systems, or unstructured text data
 </li>
 <li>
 Experience working across the full ML lifecycle &mdash; from data curation and experimentation to deployment and monitoring
 </li>
 <li>
 Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions
 </li>
 <li>
 Strong communicator who can collaborate effectively with both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Equal Opportunity
 
 
 
 Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the New York City Fair Chance Act.
 
 
 Pursuant to New York Labor Law Section 194-b, the US Pay Range for this position is listed below. Final compensation will be determined based on skills, experience, and qualifications.
 
 
 
 Compensation Range: $200k&ndash;$250k
 
 
 
 Compensation Range: $200K - $250K
 
 
</div>

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