data scientist

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>

Uretero Communications & IT

Job Title: Data ScientistJoin BigDev Company Technologies as a Data ScientistAre you passionate about turning data into meaningful insights and building intelligent systems that solve real-world problems? At BigDev Company Technologies, we&rsquo;re growing fast and looking for a Data Scientist to help us design, analyze, and deploy impactful data solutions.This is an exciting opportunity to work on modern data stacks, collaborate with cross-functional teams, and contribute to high-impact projects in a supportive and innovation-driven environment.What You&rsquo;ll Do<ul><li>Analyze large datasets to extract actionable insights and trends</li><li>Build, test, and deploy machine learning models</li><li>Develop data pipelines and automate data processing workflows</li><li>Collaborate with engineers, product managers, and stakeholders</li><li>Create dashboards and visualizations using tools like Power BI or Tableau</li><li>Optimize algorithms and improve model performance</li><li>Present findings clearly to technical and non-technical audiences</li></ul>What We&rsquo;re Looking For<ul><li>Experience in data science, machine learning, or a related field</li><li>Strong knowledge of Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn)</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch is a plus)</li><li>Experience with data visualization tools (Power BI, Tableau, or similar)</li><li>Understanding of statistics, data modeling, and predictive analytics</li><li>Strong problem-solving and analytical thinking skills</li><li>Ability to work independently and in a team environment</li></ul>Nice to Have (Not Required)<ul><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Prior experience in production-level ML deployment</li></ul>About the CompanyBigDev Company Technologies is a growing technology company focused on building scalable software, AI-driven solutions, and data-powered products for clients across multiple industries. We combine innovation, collaboration, and technical excellence to deliver real impact.Why Work With Us<ul><li>Work on meaningful, real-world data projects</li><li>Supportive and collaborative team culture</li><li>Opportunities for learning, growth, and career advancement</li><li>Exposure to modern tools and technologies</li></ul>Apply NowReady to take the next step in your data science career? Apply today and join a team where your work truly makes an impact.Job Type: Full-timePay: KD1,800.000 - KD2,000.000 per monthWork Location: In person

Delta System & Software, Inc.

<div>
 
 
 Role:
 
 Data Scientist
 
 &mdash; Financial Events &amp; Graph Analytics (Graph DB / REA a Plus)
 
 
 
 
 Location:
 
 Berkeley Heights, NJ (53 Days) and Princeton, NJ(2 Days) (based on client schedule
 
 
 
 Duration
 
 : Permanent
 
 
 
 Type
 
 : Full-time
 
 
 
 
 
 
 Role summary
 
 
 
 We&rsquo;re hiring a Data Scientist to model and analyse financial events and entity relationships using graph data. You&rsquo;ll work with engineers and stakeholders to design graph schemas, build analytical pipelines, and deliver insights/products such as risk signals, anomaly detection, entity resolution, and event-driven intelligence. Familiarity with REA (Resources&ndash;Events&ndash;Agents) accounting/event modeling is a plus.
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Design and evolve graph data models for financial events, entities, and relationships (accounts, payments, invoices, trades, counter parties, ownership, etc.).
 </li>
 <li>
 Translate business questions into graph queries and features (traversals, communities, centrality, paths, temporal patterns).
 </li>
 <li>
 Build data pipelines for ingestion, cleaning, labelling, and feature engineering, including entity resolution and relationship extraction where needed.
 </li>
 <li>
 Develop and validate statistical/ML models (risk scoring, anomaly detection, fraud patterns, forecasting, classification).
 </li>
 <li>
 Create event-driven analytics using strong time semantics (event ordering, windows, causality assumptions, life-cycle states).
 </li>
 <li>
 Partner with engineering to productive models: batch + near-real-time scoring, monitoring, drift checks, and reproducible experiments.
 </li>
 <li>
 Communicate findings clearly via notebooks, dashboards, and concise write-ups.
 </li>
 </ul>
 
 
 Must-have skills
 
 
 <ul>
 <li>
 Strong foundation in statistics + machine learning (evaluation, leakage prevention, bias checks, calibration, experimentation).
 </li>
 <li>
 Hands-on experience with
 
 Graph DBs and graph concepts:
 
 </li>
 <li>
 Schema/design: node/edge types, properties, constraints, indexing, cardinality, temporal modeling
 </li>
 <li>
 Querying: Cypher (Neo4j) and/or Gremlin/SPARQL
 </li>
 <li>
 Graph algorithms: Page Rank, betweenness, connected components, community detection, similarity
 </li>
 <li>
 Strong Python for DS (pandas, numpy, scikit-learn; comfort writing production-ready code).
 </li>
 <li>
 Solid data engineering basics: SQL, ETL, data quality checks, versioning, reproducibility.
 </li>
 <li>
 Ability to explain technical results to non-technical stakeholders.
 </li>
 </ul>
 
 
 Domain experience (preferred)
 
 
 <ul>
 <li>
 Financial data and event modeling: payments, reconciliation, ledgers, trades, positions, KYC/AML signals, counterparty networks.
 </li>
 <li>
 Understanding of financial events and workflows (authorization &rarr; capture &rarr; settlement, invoice &rarr; payment &rarr; reconciliation, trade lifecycle, etc.).
 </li>
 <li>
 REA (Resources&ndash;Events&ndash;Agents) modeling and/or accounting event-sourcing concepts is a strong plus.
 </li>
 </ul>
 
 
 Nice-to-have
 
 
 <ul>
 <li>
 Entity resolution / record linkage; graph-based identity resolution.
 </li>
 <li>
 NLP for event extraction from unstructured text (contracts, filings, invoices).
 </li>
 <li>
 Experience with cloud data stacks (GCP/AWS), orchestration (Airflow/Prefect), and model serving.
 </li>
 </ul>
 
 Knowledge of governance/security patterns for sensitive financial data
 
</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>

EjadTech - إيجاد التقنية

<div>
 
 EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Translate complex business challenges into actionable data science projects and technical models.
 </li>
 <li>
 Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
 </li>
 <li>
 Develop, train, and validate advanced Machine Learning models and predictive algorithms.
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
 </li>
 <li>
 Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Present technical findings and strategic recommendations to senior leadership and clients.
 </li>
 <li>
 Collaborate with Data Engineers to ensure robust data pipelines and system integration.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 to 6 years of professional experience as a Data Scientist.
 </li>
 <li>
 Strong proficiency in Python or R and advanced SQL querying.
 </li>
 <li>
 Proven track record in applying Machine Learning frameworks.
 </li>
 <li>
 Experience in a consulting or client-facing technology environment.
 </li>
 </ul>
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
 </li>
 <li>
 Familiarity with Agile methodologies and modern data engineering practices.
 </li>
 <li>
 Critical thinking and problem-solving skills with the ability to work under pressure.
 </li>
 <li>
 Full professional proficiency in both Arabic and English.
 </li>
 </ul>
 
 
 
</div>

American Electric Power

<div>Job Posting End Date
04-13-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
The Perfect Power Data Scientist will be responsible for conducting analyses on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Create visual dashboards to develop reliable real-time visibility into key metrics and access deeper analysis, forecasting, and scenario modeling. Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. This role would help to automate tasks, improve the quality of reporting and introduce advanced analytics for the company to make faster, smarter decisions.
Job Description
What you&rsquo;ll do:
ESSENTIAL JOB FUNCTIONS<ul><li>
 Development of analytical solutions to solve high-value business problems across AEP.</li><li>
Utilize analytical tools and data management skills to provide actionable business intelligence.</li><li>
Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses.</li><li>
Help identify, acquire, and provide management of data needed for various analytic studies.</li><li>
Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.</li><li>
Apply data visualization tools to large data sets to enhance data understanding.</li><li>
Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.</li><li>
Collaborate with technology partners to develop data acquisition and data management practices.</li><li>
Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.</li><li>
Collaborate with technology and business units to operationalize meaningful reports and dashboards.</li></ul>
What we&rsquo;re looking for:
Minimum requirements for SG 06 Data Scientist Associate:
Education requirements are listed below:<ul><li>
Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.</li></ul>
Work Experience requirement listed below:<ul><li>
No additional experience is required.</li><li>
An equivalent combination of education and related experience may be considered.</li></ul>
Minimum requirements for SG 07 Data Scientist:
Education requirements are listed below:<ul><li>
Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.</li></ul>
Work Experience requirement listed below:<ul><li>
2 years of relevant work experience is required.</li><li>
An equivalent combination of education and related experience may be considered.</li></ul>
Minimum requirements for SG 08 Data Scientist Sr.:
Education requirements are listed below:<ul><li>
Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.</li></ul>
Work Experience requirement listed below:<ul><li>
5 years of relevant work experience is required.</li><li>
An equivalent combination of education and related experience may be considered.</li></ul>
What you&rsquo;ll get:
SG 06 Data Scientist Associate salary starting between: $74,551-$93,189
SG 07 Data Scientist salary starting between: $87,633-$109,544
SG 08 Data Scientist Sr. salary starting between: $98,993-$128,689
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
At AEP, we&rsquo;re more than just an energy company &mdash; we&rsquo;re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Compensation Data
Compensation Grade:
SP20-006
Compensation Range:
$74,551.00 - $128,688.00
The Physical Demand Level for this job is: S &ndash; Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.</div>

Data Scientist Associate - Data Scientist Sr.

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Data Scientist Associate - Data Scientist Sr.