statistical modeler

Oman Air

<div>
 
 
 Job Purpose
 
 
 
 The Financial Modeler &ndash; Strategy &amp; Analytics will support the development of financial models and analytical tools to enable data-driven decision-making across Oman Air. The role combines financial modeling with data analytics to support route profitability, network optimization, and investment analysis.
 
 
 The position contributes to enhancing financial visibility and supports business cases, forecasting, and performance analysis across commercial and strategic initiatives.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Financial Modeling &amp; Forecasting
 
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 - Support development and maintenance of financial models for planning and forecasting.
 
 
 - Assist in building models linking revenue, cost, and operational drivers.
 
 
 - Contribute to scenario analysis and financial projections.
 
 
 
 
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 Route Profitability &amp; Network Analytics
 
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 - Support development of route profitability models (RASK, CASK, contribution).
 
 
 - Assist in analyzing route performance and identifying optimization opportunities.
 
 
 - Provide analytical support to network planning and commercial teams.
 
 
 
 
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 Data Analytics &amp; Integration
 
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 - Utilize Python, SQL, and Excel to analyze datasets and improve insights.
 
 
 - Support integration of financial and operational data into models.
 
 
 - Assist in developing dashboards and automated tools.
 
 
 
 
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 Business Case Support
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 - Assist in building financial models for new routes, investments, and initiatives.
 
 
 - Support NPV, IRR, and sensitivity analysis.
 
 
 - Contribute to preparation of investment materials.
 
 
 
 
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 Performance Analysis
 
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 - Analyze financial performance against budget and forecasts.
 
 
 - Support development of KPIs and performance frameworks.
 
 
 - Link operational metrics with financial outcomes.
 
 
 
 
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 Process Improvement
 
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 - Support improvement and automation of modeling tools.
 
 
 - Assist in standardizing templates and methodologies.
 
 
 - Enhance data accuracy and reporting efficiency.
 
 
 
 
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 Stakeholder Collaboration
 
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 - Work with Commercial, Network, Finance, and Strategy teams.
 
 
 - Translate analysis into clear insights for decision-making.
 
 
 - Support senior team with analytical inputs.
 
 
 
 
 
 
 Qualifications
 
 
 
 - Bachelor&rsquo;s degree in Computer Science, Finance, Economics, Engineering, or related quantitative field.
 
 
 - CFA Candidate (Level III / Finalist) preferred.
 
 
 
 
 
 
 Experience
 
 
 
 - 1&ndash;3 years of experience in analytics, finance, or technology-related roles.
 
 
 - Exposure to financial modeling or investment analysis is desirable.
 
 
 - Experience with data tools (Python, SQL) is an advantage.
 
 
 
 
 
 
 Skills &amp; Competencies
 
 
 
 - Strong Excel skills (financial modeling foundation).
 
 
 - Basic to intermediate Python and/or SQL.
 
 
 - Understanding of financial concepts and analysis.
 
 
 - Strong analytical and problem-solving skills.
 
 
 - Ability to communicate insights clearly.
 
 
 
 
 
 
 Personal Attributes
 
 
 
 - Analytical and detail-oriented.
 
 
 - Strong learning mindset.
 
 
 - Collaborative and proactive.
 
 
 - Ability to work under guidance and grow into the role.
 
</div>

Financial Modeler – Strategy & Analytics

Google

<div>
 
 Minimum qualifications:
 
 
 
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 Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
 
 
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 Preferred qualifications:
 
 
 
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 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
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 Experience designing and building statistical models or physical models for energy consumption.
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 Experience in energy or climate domains.
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 Experience designing and building optimization, simulation, and probabilistic decision-making models.
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 Excellent problem-framing, problem-solving and project management skills.
 
 
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 About the job
 
 In this role, you will lead data modeling and forecasting efforts for our AI/ML software footprint. This includes collaborating with internal teams to gather, analyze, and interpret data related to AI/ML software usage, resource consumption, energy consumption, and carbon emissions. You will develop modeling methodologies that accurately estimate the carbon emissions of AI/ML software. You will help identify key factors, such as model complexity, training data volumes, and deployment patterns, to identify and highlight opportunities for emissions reductions. You will also develop metrics to evaluate and prioritize AI/ML emissions reductions projects.
 
 
 You will work closely with the Advanced Energy Labs team, helping to close Google&rsquo;s most critical energy gaps by driving internal and external data and software products from 0 to 1. You will also work closely with the Climate Operations team, be responsible for ensuring that Google achieves Net Zero emissions and 24/7 carbon-free energy by 2030 for our global operations and value chain.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
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 Collaborate with cross-functional stakeholder to understand their business needs and frame investigative problems.
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 Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
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 Drive analysis and modeling, drawing from multiple methods and choosing the right method and level of complexity appropriate for the business challenges.
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 Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud.
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 Identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
 
 
 
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 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Scientist, Research, Operations and Infrastructure Data Science

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. 
 
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. 
 
Key job responsibilities 
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul> 
A day in the life 
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist, Amazon Music - DISCO

Bank of America

<div>
 
 Job Description:
 
 
 
 At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
 
 
 Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
 
 
 Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
 
 
 At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 
 
 
 The Data and AI team within Global Payment Solutions (GPS) at Bank of America
 
 is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.
 
 
 
 Who we are:
 
 
 
 The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with &ldquo;think tank&rdquo; sessions with business teams that is later translated to tangible solutions and products.
 
 
 
 Representative Projects:
 
 
 
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 Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients
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 Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions
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 Develop AI models that shift foreign currency conversion &ldquo;up the payment stream,&rdquo; reducing reliability on beneficiary banks
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 Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality
 
 
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 Who we&rsquo;re looking for:
 
 
 
 As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.
 
 
 If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.
 
 
 
 Responsibilities:
 
 
 
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 Frame abstract business problems using advanced data science and machine learning algorithms
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 Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
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 Own critical research and application development, strengthening the firm's competitive advantage
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 Shape cross-team collaboration to advance the firm's data science capabilities
 
 
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 </ul>
 
 Required Skills:
 
 
 
 <ul>
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 Minimum Bachelor&rsquo;s degree in a quantitative field such as computer science, math, statistics, and physics
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 Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)
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 Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)
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 Prior experience working in a highly technical data driven research environment
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 Ability to communicate complex topics in a concise and coherent manner
 
 
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 Desired Skills:
 
 
 
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 Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
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 Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
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 Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
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 Are excited to dive into new technical areas on a regular basis
 
 
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 Shift:
 
 
 
 1st shift (United States of America)
 
 
 
 Hours Per Week:
 
 
 
 40
</div>

Data Scientist I

Muller's Solutions

<div>M&uuml;ller's Solutions is seeking a skilled Oracle Data Modeler Specialist for a part-time, 3-month contract role. In this position, you will be responsible for designing and maintaining Oracle data models that support our business intelligence and data management initiatives. You will collaborate closely with business analysts, database administrators, and developers to ensure that the data architecture aligns with business requirements and best practices.
Responsibilities:<ul><li><ul><li>Install and configure Oracle SQL Developer Data Modeler</li><li>Establish connectivity with Oracle databases and data warehouse systems</li><li>Develop and maintain conceptual, logical, and physical data models</li><li>Support data model standardization and naming conventions</li><li>Reverse-engineer existing schemas and align with target data architecture</li><li>Collaborate with data engineering teams for model implementation</li><li>Ensure models support reporting, analytics, and governance use cases</li></ul></li></ul> 

Requirements 
Requirements:<ul><li><ul><li>3+ years in data modeling and database design</li><li>Strong expertise in Oracle Database, SQL, and data warehousing concepts</li><li>Hands-on experience with Oracle Data Modeler (or equivalent tools)</li><li>Understanding of dimensional modeling (star/snowflake), normalization techniques</li><li>Experience working in enterprise data environments</li></ul></li></ul> 

Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Oracle Data Modeler Specialist - Part Time (3 Month)

Elegancia Services

Job Title: BIM Modeler (Architectural &ndash; FM &amp; Fit-Out Experience)Location: QatarWe are currently seeking a skilled BIM Modeler with an Architectural background, having strong experience in Facilities Management (FM) and Fit-Out projects. The ideal candidate must hold a Degree in Architecture and have hands-on expertise in BIM modeling for building services and interior fit-out works.Key Responsibilities:<ul><li>Develop and manage detailed BIM models for architectural, FM, and fit-out projects</li><li>Coordinate with design, engineering, and project teams for model accuracy</li><li>Produce construction drawings, shop drawings, and as-built documentation</li><li>Ensure BIM standards, project specifications, and client requirements are met</li><li>Support clash detection and coordination with MEP and structural teams</li><li>Update and maintain BIM models throughout project lifecycle</li><li>Assist in design coordination for facility management and renovation works</li></ul>Requirements:<ul><li>Bachelor&rsquo;s Degree in Architecture (mandatory)</li><li>Proven experience as a BIM Modeler in FM and Fit-Out projects</li><li>Strong proficiency in Revit, AutoCAD, and BIM coordination tools</li><li>Good understanding of architectural detailing and construction methods</li><li>Experience in GCC projects preferred</li><li>Strong attention to detail and coordination skills</li></ul>Job Type: PermanentPay: QAR9,000.00 - QAR10,000.00 per monthWork Location: In person

BIM Modeler

UNIVERSAL BIM & CAD TECHNICAL SERVICES L.L.C

Universal BIM &amp; CAD Technical Solutions LLC is urgently looking for a skilled Electrical BIM Modeler with strong UAE experience to join our growing team. If you&rsquo;re experienced in Revit MEP and thrive in a coordinated BIM environment, we&rsquo;d like to hear from you.Key Responsibilities<ul><li>Develop and manage detailed Electrical BIM models using Revit (MEP)</li><li>Model systems including power distribution, lighting, cable trays, containment, earthing, and lightning protection</li><li>Produce LOD 300&ndash;400 models with accurate routing and technical detailing</li><li>Coordinate with MEP, architectural, and structural teams</li><li>Perform clash detection using Navisworks and resolve coordination issues</li><li>Generate shop drawings, SLDs, schedules, and quantity take-offs</li><li>Update models based on design changes, site conditions, and consultant feedback</li><li>Ensure compliance with UAE standards (DEWA, Dubai Municipality) and BIM Execution Plans</li><li>Support coordination meetings and technical submissions</li><li>Prepare as-built BIM models</li></ul>Requirements<ul><li>3&ndash;5 years of UAE experience as an Electrical BIM Modeler</li><li>Strong proficiency in Autodesk Revit (MEP)</li><li>Working knowledge of Navisworks</li><li>Solid understanding of electrical systems (power, lighting, cable routing, basic ELV)</li><li>Familiar with BIM standards, LOD, and clash detection workflows</li><li>Ability to read electrical drawings and SLDs</li><li>Experience in commercial or high-rise projects is an advantage</li><li>Strong attention to detail and ability to meet deadlines</li><li>Good communication and teamwork skills</li><li>Must be currently based in the UAE and available for immediate joining</li></ul>What We Offer<ul><li>Competitive salary package</li><li>Opportunity to work on advanced BIM-driven projects</li><li>Supportive and professional work environment</li><li>Career growth and development opportunities</li></ul>Job Types: Part-time, Contract, FresherApplication Question(s):<ul><li>How many years of Home Country experience do you have?</li><li>How many years of UAE experience do you have?</li><li>Are you currently located in the UAE?</li><li>Are you currently working in the UAE?</li><li>What will be your notice period?</li><li>Are you available to join immediately?</li><li>What will be you Salary Expectations?</li><li>Nationality?</li><li>What is your Visa Status?</li><li>What is your Visa Expiry Date?</li></ul>Work Location: In person

Electrical BIM Modeler

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