The IXIS Data Scientist interview guide, interview questions, salary data, and interview experiences.

IXIS Data Scientist Interview Guide

Getting ready for an Data Scientist interview at IXIS? The IXIS Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for IXIS Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at IXIS.</li>
<li>Practice real IXIS Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the IXIS Data Scientist interview.


Getting ready for an Data Scientist interview at IXIS? The IXIS Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for IXIS Data Scientist roles.
- Gain insights into the Data Scientist interview process at IXIS.
- Practice real IXIS Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the IXIS Data Scientist interview.
        

Overview

IXIS Data Scientist Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

IXIS Data Scientist Interview Process

How would you build the recommendation algorithm for type-ahead search for Netflix?

Type-ahead Search

Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.

Using this information, how would you build a job recommendation feed?

What problem can arise in job recommendation systems with regard to initial recommendations?

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

Let’s say we want to build a new delivery time estimate model for consumers ordering food delivery.

How would you determine if the new model predicts delivery times better than the old model?

When rolling out a new delivery time estimate model in production, what is an important consideration?

When rolling out a new delivery time estimate model in production, what is an important consideration?

Delivery Estimate Model I

What is one way to measure the performance of a new delivery time estimate model for food delivery?

What is one way to measure the performance of a new delivery time estimate model for food delivery?

Delivery Estimate Model II

Delivery Estimate Model

IXIS Data Scientist Interview Questions

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $138,600.00 - $228,800.00 Target Openings 1 What Is the Opportunity? Collaborative Environment, Transformational Projects, and a Growing Team! As a member of Enterprise Data & Analytics (ED&A), you'll be joining a strategic and collaborative team that is passionate about transforming our business and bringing our technology capabilities to the next level. We are at the center of multiple cross-functional, complex initiatives accelerating the deployment of AI, including generative AI, across the insurance value chain. Our team members will have opportunities for large-scale impact as well as opportunities for long-term career growth. As a Data Scientist, you will be responsible for working with business partners and collaborating with other technologists to build sophisticated, data-powered solutions that solve key business challenges and enhance our customer experience. Join us in our journey to build the future of insurance with data at its core!What Will You Do? <ul><li>Managing portions of business or technical projects focused on designing and developing analytical solutions.</li><li>Leveraging advanced AI techniques, including generative AI, bringing novel technological approaches to existing business domains.</li><li>Sharing expertise with the community through discussions, presentations, and peer reviews.</li><li>Managing expectations with stakeholders and building consensus by collaborating with business partners to plan and execute transformational data-driven solutions.</li><li>Communicating analysis, insights, and results to manager, peers, and business partners.</li><li>Being a mentor or resource for less experienced analytic talent, onboarding new employees and interns, and providing support for intern recruiting and talent assessment efforts.</li><li>Supporting various training and skill development initiatives.</li><li>Performing other duties as assigned</li></ul> What Will Our Ideal Candidate Have? <ul><li>Masters in STEM related field or equivalent</li><li>5 years of related experience</li><li>Advanced working knowledge of modeling/research/ analytics or actuarial required</li><li>Strong grasp of value creation and business model concepts</li><li>Advanced knowledge of multiple statistical software programs</li><li>Ability to develop advanced models and interpret model results</li><li>Application of advanced statistics underlying data models</li><li>Ability to develop emerging statistical procedures to work</li><li>Advanced knowledge in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.</li></ul> What is a Must Have? <ul><li>Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus three years of experience, or PhD in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero years of experience, or any suitable and equivalent combination of education and work experience.</li><li>Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required.</li></ul> What Is in It for You? <ul><li>Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.</li><li>Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li>Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li>Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li>Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul> Employment Practices Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve. We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

Job Overview Job Description:At AT&T we're redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.Join our team as a Senior Data Scientist, where you will play a pivotal role in shaping the future of customer experience by developing cutting-edge solutions powered by generative AI (GenAI). In this position, you will collaborate closely with a cross-functional team comprising data engineers, machine learning engineers, and domain experts. Utilizing state-of-the-art machine learning (ML)/AI methodologies, including deep learning, reinforcement learning, and natural language processing, you will analyze complex, large-scale datasets and extract actionable insights.By leveraging your technical acumen and domain knowledge, you will significantly contribute to the creation of innovative products and services aimed at enhancing customer satisfaction and fueling growth within the telecommunications industry.Work Responsibilities: Lead the development and implementation of ML and GenAI algorithms, models, and techniques to understand customer pain points and enhance customer experience across various channels, including virtual assistants.Leverage the latest ML and GenAI technologies to extract insights from customer interactions, such as calls, chat logs, and social media, thereby driving data-driven decision-making and enhancing overall customer satisfaction.Design ML and GenAI solutions that empower call center agents to better serve our customers.Utilize vast volumes of customer data to uncover patterns, trends, and insights that contribute to improved digital containment and issue resolution rates. - Incorporate prompt engineering methodologies to optimize and enhance the performance of generative AI models and their applications in customer experience solutions.Oversee the end-to-end execution of GenAI projects, ensuring timely delivery and superior quality.Collaborate with cross-functional teams, including product managers, engineers, and customer service teams, to gather requirements and translate them into scalable GenAI solutions.Identify potential risks and challenges related to GenAI projects and proactively develop strategies for mitigation.Ensure compliance with relevant ethical, legal, and regulatory requirements in the development and deployment of GenAI technologies.Foster a culture of innovation and continuous learning within the GenAI team, and promote knowledge sharing and best practices across the company.Stay up-to-date on the latest advancements in NLP, conversational AI, GenAI, and customer experience technologies, applying them to enhance our solutions.Engage with external partners and research organizations to explore state-of-the-art techniques and technologies in NLP, GenAI, and customer experience domains.Clearly and concisely present findings, insights, and recommendations to stakeholders, both verbally and through reports or presentations.Technical Requirements: A minimum of 6 years of proven experience in designing, developing, and implementing ML models and algorithms, including both supervised and unsupervised learning. - Proficiency in Python, with demonstrated expertise in the latest ML libraries and frameworks such as PyTorch, NLTK, Spacy, and Scikit Learn. - Demonstrated experience with NLP.Deep understanding of the latest GenAI techniques and algorithms.Experience with cloud platforms such as Microsoft Azure, AWS, or equivalent.Strong analytical and problem-solving skills, with the demonstrated ability to tackle complex challenges and deliver impactful solutions.Our Sr Data Scientists earn between $141,300 - $211,900. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.Joining our team comes with amazing perks and benefits:Medical/Dental/Vision coverage401(k) planTuition reimbursement programPaid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)Paid Parental LeavePaid Caregiver LeaveAdditional sick leave beyond what state and local law require may be available but is unprotectedAdoption ReimbursementDisability Benefits (short term and long term)Life and Accidental Death InsuranceSupplemental benefit programs: critical illness/accident hospital indemnity/group legalEmployee Assistance Programs (EAP)Extensive employee wellness programsEmployee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phoneA career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you'll lead transformation surrounded by trailblazing industry leaders like you. You'll be empowered to go above and beyond - making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.And regardless of where you're at in your career trajectory, you'll be rewarded by the impact that comes with making a difference in the lives of millions. With AT&T, you'll be a part of something greater, do incredible things and be rewarded with a chance to change the world.AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.Ready to close the deal on a career with AT&T?Apply today.Weekly Hours:40Time Type:RegularLocation:Dallas, TexasSalary Range: $158,200.00 - $237,400.00It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. Job ID R-2324435 Date posted 01/25/2024

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Data Scientist Job Functions: <ul><li>The Data Scientist position will sit onsite at our new corporate office in Steele Creek, Charotte North Carolina.</li><li>No work-sponsorship offered for this position at this time. This is a full-time position.</li><li>Implementing Machine Learning platforms, such as MS Azure, from the ground up.</li><li>Use advanced data modeling and analysis techniques to distill insights that will guide strategic decisions and uncover optimization opportunities.</li><li>Transform data science prototypes and apply machine learning algorithms and tools to automate predictive models.</li><li>Communicate the business value and champion analytics as a central decision-making resource.</li><li>Architect and work closely with other team members to develop scalable data analytic solutions.</li><li>Apply the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.</li><li>Identify valuable data sources and automate mining/collection processes.</li><li>Undertake preprocessing of structured and unstructured data.</li><li>Analyze large amounts of data/information to discover and articulate trends and patterns.</li><li>Build predictive models and machine-learning algorithms.</li><li>Combine models through ensemble modeling.</li><li>Develop conclusive insights using statistical methods.</li><li>Make and defend arguments using data and data-based insight.</li><li>Gather business requirements from end users and oversee the build of technical solutions from concept to implementation.</li><li>Leverage a variety of data mining/data analysis methods in order to test and propose effectiveness of different courses of action.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Monitor the effectiveness of marketing channels, focusing on the balance between existing donor volume against the volume and quality of new donors.</li><li>Collaborate with business stakeholders to identify, prioritize, and develop new marketing ideas, leading the implementation of chosen initiatives that integrate company strategy and best practices.</li><li>Build and analyze marketing tests to understand impact of marketing initiatives and make sure that the highest return initiatives are adequately scaled, measuring ROI with accuracy and rigor.</li><li>Examine, interpret, and report results of analytical marketing initiatives and tests to stakeholders in leadership, technology, marketing, and field functions.</li></ul> JOB SPECIFICATIONS: <ul><li>Credentials </li> <ul><li>Bachelor's degree +5 years or Master's degree +3 years of relevant experience in statistics, mathematics, computer science, operations research, industrial engineering, economics, or a related field.</li></ul></ul> <ul><li>Computer programming / Data engineering </li> <ul><li>Experience working with enterprise data warehouses, building data pipelines, and feature engineering.</li><li>Working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools (preferred: Azure).</li><li>Experience using statistical computer languages to manipulate data and draw insights from large data sets (required: SQL, R or Python; preferred: Spark, SAS, Julia, SPSS).</li><li>Preferable experience implementing machine learning tools such as Azure from the ground up.</li><li>Preferable experience with CRM software (preferably Salesforce). Preferable experience with extracting data from CRM via API.</li></ul></ul> <ul><li>Statistical Modeling </li> <ul><li>Strong statistics / econometrics background with solid understanding of sampling, statistical inference, hypothesis testing, regression analysis, time-series models, hierarchical models, etc.; Ability to interpret models and findings and speak to both technical and non-technical audiences.</li><li>Experience using statistical modeling techniques listed above to drive strategic decisions from raw data to actionable insights.</li><li>Preferable experience in marketing analytics, including experiment design and measurement, A/B testing, segmentation, churn analysis/mitigation, and propensity modeling.</li></ul></ul> <ul><li>Data visualization </li> <ul><li>Experience with data visualization software (Tableau, Power BI, MicroStrategy, Qlik, think-cell, etc.) and distilling data into meaningful graphics.</li></ul></ul> <ul><li>Individual skills </li> <ul><li>Excellent communication and presentation skills; ability to communicate technical results to non-technical audience.</li><li>Experience supporting digital transformation of workflows and business processes.</li><li>Strategic mindset with strong organizational, analytical, quality detail orientation, negotiation, decision-making, time management, and process improvement skills.</li><li>Works well in a collaborative, team-oriented environment.</li><li>Ability to work autonomously with very limited supervision.</li></ul></ul>

JPMorgan Chase and CCB Data & Analytics has a strategic business goal to run applications on multi-cloud environments and deliver innovative solutions using AI/ML, big data, devops tools and microservices and architectures. This role is responsible for driving the development of Chase Consumer and Community Banking's (CCB) Vocabulary. We are looking for a candidate with experience building semantic data architecture to join our CCB Vocabulary team to assist in taxonomy and ontology efforts for a new team within JPMC. You will have the opportunity create a large scale Vocabulary, which will be applied to data at hyper scale, making them both human and machine readable for our data consumers and our data scientists. Job responsibilities Coach and support CCB's data owners in cross-disciplinary teams; Help discover, profile, acquire, process, model and own data for the solutions Advocate the adoption of open-sourced data processing pipelines & algorithms to help clients manage and anticipate data needs from varied structured and unstructured data sources, including traditional relational stores, other NoSQL databases, and social media, news, internal/external documents, emails, etc. Actively be involved in researching and experimenting with leading/emerging data governance and processing methodologies and technologies to facilitate advanced analytics use cases. Develop metrics and procedures for assessing, managing and characterizing meta-data. Contribute to data architecture and data management strategy design Participate in collaborating with the firm's Chief Data Offices and Technology Functions to develop standards and best practice and influence key stakeholders to define tasks and guidelines for workflows and manage decisions throughout the lifecycle. Builds product backlog, prioritize its items to achieve Objectives and Key Results (OKRs) and continuously keep it up to date. Ensures product features and processes align with applicable Discover compliance and risk management standards. Taxonomy/Ontology Required qualifications, capabilities and skills Taxonomy, Ontology, Vocabulary experience Well-versed in Linked Data, Metadata, SPARQL, OWL, Knowledge Representation, Web Standards, W3C, Digital Libraries, Resource Description Framework (RDF), Semantic Technologies, Ontologies & taxonomies Experience using Python and query languages such as SQL and SPARQL Education in and/or experience with language pragmatics, linguistic data collection methodologies, and/or natural language understanding Team development and coaching experience a plus Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline Preferred qualifications, capabilities and skills Ability to move quickly and embrace an experiment-driven product development approach. Understanding and prior experience in Ontology and Taxonomy mapping. Conduct user research to identify pain points and inform design Previous experience utilizing SQL, SPARQL, OWL and RDF highly sought Outcome oriented - not reactionary; you can articulate the desired outcome and work collaboratively to create a path to achieve it. This requires a fundamental understanding of the business and its constraints (financial, marketing, compliance, legal, service, the customer environment, the technical capabilities, the user experience, etc.) Fluency in highly technical concepts and practices, garnering respect from engineers. Manage dependencies with other team's functions while identifying, building, and managing strategic partnership across different product teams.

DESCRIPTION:Duties: Design, develop and productionize high quality machine learning models, analyze model performance and develop services to solve business problems. Identify data source, design and implement highly scalable and reliable data processing pipelines, perform analyses, and optimize business result. Quickly synthesize and interpret data; develop new functions or applications in programming languages to identify outliers. Mine and analyze data from various data sources to provide actionable insights using machine learning algorithms and statistical methods. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. Leverage machine learning models and techniques to target opportunities and optimize processes. Develop creative approaches, frameworks, and insights to address key strategic recommendations. Identify business problems and deliver oral and written presentations of the results of mathematical modeling and data analysis to management or other end users. Ensure overall quality of deliverable is consistent with defined standards and development practice.QUALIFICATIONS:Minimum education and experience required: Bachelor's degree in Mathematics, Finance, Economics, Computing, Computer Science, Computer Engineering, Data Analytics, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, Data Analyst, IT Consultant, or related occupation.Skills Required: Requires experience in the following: Java; Python; Machine Learning; Data Mining; Information Retrieval; Natural Language Processing; Reinforcement Learning; Ranking and Recommendation, or Time Series Analysis; Major machine learning frameworks, including PyTorch, Scikit-learn, and TensorFlow; Cloud computing, including Amazon Web Services, Docker, and Kubernetes; developing Microservices; Performance Testing; SQL, including Oracle and Postgres databases; XML; Linux; Kafka; Rest; Maven; and Spring frameworks.Job Location: 575 Washington Blvd., Jersey City, NJ 07310. Telecommuting permitted up to 20% of the week.Full-Time. Salary: $154,300 - $180,000 per year.

IXIS Data Scientist Interview Guide

Overview

IXIS Data Scientist Salary

IXIS Data Scientist Interview Process

IXIS Data Scientist Interview Questions

IXIS Data Scientist Jobs