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

Gojek tech Data Scientist Interview Guide

<p>Getting ready for an Data Scientist interview at Gojek tech? The Gojek tech Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Gojek tech Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Gojek tech.</li>
<li>Practice real Gojek tech Data Scientist interview questions.</li>
</ul>
<p>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 Gojek tech Data Scientist interview.</p>


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

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

Overview

What Gojek tech Looks for in a Data Scientist

Machine Learning

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Backpropagation Explanation

ML Ops

How would you investigate and address a decline in a model's production performance?

Model Product Performance Degradation

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

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

Gojek tech Data Scientist Interview Process

Interview Tips

<p>Let’s say we’ve deployed a recommendation model for an e-commerce site, and after two months, we notice that the model’s click-through rate has dropped from 12% to 7%.</p>

<p>How would you investigate the cause of this performance decline, and what steps might you take to address it?</p>


<p>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing

<p>Let’s say that Facebook would like to change the user interface of the composer feature (the posting box) to be more like Instagram. Instead of a box, Facebook would add a “+” button at the bottom of the page.</p>

<p>How would you test if this is a good idea?</p>


<p>What could be a potential risk when Facebook segments the results of the user interface change by market or demographic groups?</p>

What could be a potential risk when Facebook segments the results of the user interface change by market or demographic groups?

Changing Composer I

<p>What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?</p>

What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?

Changing Composer II

Changing Composer

Gojek tech Data Scientist Interview Questions

<h3>Job Description</h3><div>Job Description<div><p><strong>Enabling safe and rewarding digital lives for genuine people, everywhere</strong></p><p>We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.</p><p>With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.</p><p></p><p><strong>About the team and role</strong></p><p><strong>Data Scientist – Fraud Analytics & Technical Writing</strong></p><p>Join GBG’s <strong>Go‑to‑Market Data Science & Analytics</strong> team, a newly established, high‑impact function shaping how we demonstrate value to customers and empower internal teams with actionable insights. As a <strong>Data Scientist – Fraud Analytics & Technical Writing</strong>, you’ll analyze large, complex datasets to surface fraud patterns, translate findings into clear business narratives, and create high‑quality technical documentation that standardizes methods and accelerates adoption across the organization. You’ll partner cross‑functionally with Sales, Product, and Operations, design dashboards that communicate trends, and influence roadmap and strategy—while building scalable, automated processes that elevate decision‑making and customer outcomes</p><p></p><p><strong>What you will do</strong></p><p><strong>Fraud Detection & Analysis</strong></p><ul><li>Analyze large, complex datasets to detect patterns, anomalies, and emerging fraud trends</li><li>Collaborate with internal teams to validate findings and refine detection strategies</li><li>Translate key findings into clear, compelling insights that demonstrate solution value to prospective customers</li><li>Support the development of standardized frameworks to quantify business impact across customer profiles</li></ul><p></p><p><strong>Technical Documentation</strong></p><ul><li>Create and maintain high-quality technical documentation, including methodologies, workflows, and system processes</li><li>Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences</li><li>Ensure documentation is standardized, accurate, and easily accessible for internal teams</li></ul><p></p><p><strong>Collaboration & Reporting</strong></p><ul><li>Work closely with cross-functional teams to implement data-driven solutions</li><li>Design dashboards and reports to communicate fraud trends and detection results effectively</li><li>Provide regular updates and recommendations to stakeholders based on data-driven findings</li></ul><p><strong>Requirements</strong></p><p><strong>Skills we are looking for</strong></p><p><strong>Technical Foundation</strong></p><ul><li>2+ years of hands-on experience in data analytics, with demonstrated success in customer-facing teams or process automation roles</li><li>Excellent technical writing and communication skills</li><li>Strong proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.)</li><li>Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar)</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools</li><li>Master’s degree in Data Science or related field preferred; PhD a plus</li></ul><p></p><p><strong>Preferred Qualifications</strong></p><ul><li>Domain expertise in identity verification, fraud detection, and/or financial services</li><li>Experience presenting technical findings to prospects or clients during sales processes</li><li>Knowledge of predictive modeling and machine learning</li></ul><p></p><p><strong>Business Acumen</strong></p><ul><li>Experience analyzing customer data and translating technical findings into compelling business narratives</li><li>Knowledge of statistics and ROI calculation frameworks</li><li>Ability to create presentations that communicate value propositions to both technical and business stakeholders</li><li>Familiarity with cross-functional collaboration processes</li></ul><p></p><p><strong>Benefits</strong></p><p><strong>To find out more</strong></p><p>As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.</p><p>To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at <span class="long-word">gbgplc.com/careers.</span></p></div></div>

<div><h2>Data Scientist</h2><p>At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture  leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. We are seeking a highly skilled Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop active bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.</p><p>What You'll Do:</p><ul><li>Design and implement active process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and safety.</li><li>Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.</li><li>Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.</li><li>Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.</li><li>Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.</li><li>Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.</li><li>Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.</li></ul><p>What Skills You Need:</p><ul><li>M.S. + 3 years' experience or Ph.D. in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.</li><li>Strong foundation in machine learning, statistical modeling, and process control.</li><li>Proficiency in Python, R, or another programming language.</li><li>Excellent communication and collaboration skills; ability to work in multidisciplinary teams.</li></ul><p>Preferred Skills:</p><ul><li>Familiarity with bioprocess workflows, fermentation, and downstream processing.</li><li>Hands-on experience with bioprocess optimization models and active process control strategies.</li><li>Experience with industrial data systems and cloud platforms.</li><li>Knowledge of reinforcement learning or adaptive experimentation for process improvement.</li></ul><p>Benefits  How We'll Support You:</p><ul><li>Numerous development opportunities offered to build your skills.</li><li>Health benefits for you and your family on your first day of employment.</li><li>Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays.</li><li>Excellent parental leave which includes a minimum of 16 weeks for mother and father.</li><li>Future planning with our competitive retirement savings plan and tuition reimbursement program.</li></ul><p>Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, pregnancy related conditions, disability or any other protected status in accordance with federal, state, or local laws.</p></div>

Job DescriptionJob DescriptionAs a Data Scientist in our Mobile Gaming Marketing team, you will power data-driven UA and growth through analytics, predictive modeling, and automation. You'll own and improve our pLTV and forecasting models, support A/B testing and ad-hoc insights, and help build tools that streamline bidding, budgeting, and reporting. Working closely with UA, Product, and Data teams, you'll ensure data quality and turn complex results into clear insights that guide fast, smart decisions.YOUR MISSIONPerformance Analysis: Partner with UA managers to analyze campaign data, identify growth drivers, and highlight optimization opportunitiesForecasting: Evaluate user behavior, channel performance, ad fraud, and organic uplift to improve creative, targeting, and channel strategiesAutomation: Build tools (e.g., Python scripts, dashboards) to automate creative testing, real-time budget/bid adjustments, and reporting workflowspLTV Modeling: Own and refine predicted LTV models, ensuring accurate integration and validation with internal/external partnersData Quality: Maintain reliable data pipelines, ensure accuracy across teams, and proactively resolve data issuesInsights &amp; Visualization: Create clear dashboards and reports that communicate model results, test findings, and recommendations to stakeholdersYOUR BACKSTORY2-5 years of professional experience in data science, data analytics, data modeling, experimentationAdvanced-level proficiency in Python and SQL.Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering, Data, and Game teamsFamiliarity with big data tools and cloud computing platforms (e.g., GCP, AWS)Relevant experience with advertising technology and solutions is a plusStillfront Group is a global games company founded in 2010. We develop digital games for a diverse gaming audience and our broad games portfolio is enjoyed by almost 70 million people every month. Stillfront is focused on realizing synergies by connecting and empowering game teams globally through our Stillops platform. We are a fast-growing company and an active global strategic acquirer. Our 1,500professionals thrive in an organization that embodies the spirit of entrepreneurship.

Job DescriptionJob DescriptionJob SummaryWe are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions.Key ResponsibilitiesConduct data integration across multiple sources and systemsInvestigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilitiesSupport the secure, rapid development, training, evaluation, debugging, and deployment of AI modelsDevelop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environmentsApply data science methodologies, standards, and frameworks to operational and test environmentsRequired Skills &amp; QualificationsAbility to apply data science expertise using established processes, methodologies, and frameworksExperience developing and applying data science tools in integrated test and/or operational environmentsProficiency with statistical programming languages such as Python, R, and SQLExperience with programming languages such as C, C++, Java, or JavaScriptExperience designing, working with, and maintaining data architecturesHands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networksStrong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testingActive Secret security clearancePreferred QualificationsBachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related fieldKnowledge of statistical analysis and data mining techniquesThree or more years of experience with distributed data and computing toolsThree or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networksExperience visualizing data and presenting analytical results to technical and non-technical stakeholders

<h3>Job Description</h3><div>Job Description<div><div>5-10 Years This role is for someone with advanced data analysis skills and a firm grasp<br />of the scientific method. Must be proficient in statistics and at least one programming<br />language (typically R or Python). </div><div>Responsibilities include data wrangling, data analysis, and data exploration. Should be<br />familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to building machine learning and other statistical models, will be expected to create data visualizations.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><b>Xenith Solutions</b> is a small family focused business where we focus on taking care of our employees and customers equally.  We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior service.  If you want to be a part of a rapidly growing business with an exceptional culture, then you want to be a part of the Xenith Solutions family.<br><br>We are seeking a highly skilled and motivated Data Scientist to join our team in developing innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate brings both strong technical acumen and domain experience working with Department of Defense (DoD) and/or Intelligence Community (IC) data sources such as SIGINT, GEOINT, or other multi-INT data. This position may be filled as a Senior Data Scientist.<br /><b>Responsibilities</b>:<ul><li>Design and conduct exploratory data analysis and hypothesis testing to support analytic objectives</li><li>Develop interactive dashboards and visualizations using tools such as Power BI, Tableau, and Grafana, translating complex findings into actionable insights for senior decision-makers</li><li>Build and optimize Python-based data pipelines leveraging libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and Plotly.</li><li>Work with diverse data formats (CSV, JSON, XML, Excel, etc.) and integrate across relational (Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases</li><li>Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets</li><li>Mentor junior data scientists and analysts, fostering best practices in statistical rigor, code quality, and reproducibility</li></ul><br /><b>Required skills and experience areas include</b>:<ul><li>Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.</li><li>Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.</li><li>Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance</li><li>Comfortable working with data in a variety of formats including excel, CSV, JSON, XML</li><li>Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers</li><li>Active Top Secret Clearance with SCI eligibility</li><li>You will be subject to a government security investigation, and you must be a U.S. citizen to apply. </li></ul><div></div><br><br> <p>Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business founded in 2019. We provide comprehensive, timely and relevant Solutions and Business Consulting support to our customers as a key partner. Our leadership brings over a century of combined experience in Defense and Civilian markets. Our employees possess experience in all aspects of solution development from requirements creation, development, test and evaluation, fielding, and sustainment. At the core of our offerings, we provide strategy and technology solutions, giving our customers valuable insights and thought leadership on the best application of information technology to drive business objectives.</p><p>Xenith focuses on solving complex business challenges facing our customers. Our “Success Through Achievement” work ethic means our customer receive quality solutions through our commitment. We pride ourselves on tackling some of the most difficult operational requirements our customers have – ensuring an appropriate match between the mission requirements, financials, schedule, and security.</p><p>EEO</p><p>Xenith Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.</p><p>EEO IS THE LAW</p><p>If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Xenith Solutions.</p><p>E-Verify</p><p>As a Federal Contractor, Xenith Solutions is required to participate in the E-Verify Program to confirm eligibility to work in the United States.</p><p>Affirmative Action Plan<br />As a federal government contractor and based on Executive Orders and applicable laws and regulations, Xenith Solutions develops and maintains annual written Affirmative Action Plans and endeavors to hire and advance qualified minorities, females, individuals with disabilities, and protected veterans.</p><p>Powered by JazzHR</p><p>Mx3zTkzEqo</p></div></div>

<div><h2>Data Science Consulting Position</h2><p>Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.</p><p>Lead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.</p><p>Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.</p><p>Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.</p><p>Utilize DataBricks and Snowflake for scalable data processing and analytics.</p><p>Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.</p><p>Prepare scientific reports, presentations, and publications for both technical and non-technical audiences.</p><p>Ensure data quality, documentation, and reproducibility across all analytic workflows.</p><p>Support onboarding and training of new team members as needed.</p><p>Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field.</p><p>Minimum five (5) years of experience in health data science and epidemiology, including deep experience analyzing CMS or commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.</p><p>Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation.</p><p>Demonstrated experience with statistical modeling, machine learning, and data visualization.</p><p>Experience with DataBricks and/or Snowflake.</p><p>Strong background in population-level public health, with experience in scientific writing and presentation.</p><p>Excellent communication and collaboration skills.</p><p>Ability to work in a fast-paced environment independently to produce high-quality deliverables on-time.</p><p>Experience with generative AI, NLP, or advanced analytics in healthcare settings.</p><p>Deep experience in biostatistics and using statistical platforms including SAS and R.</p><p>Familiarity with public health surveillance systems, federal health programs, or similar public sector environments.</p><p>Experience in chronic disease surveillance, preferably neurological conditions.</p><p>Prior work in consulting and working with multi-disciplinary teams and stakeholder engagement.</p><p>The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.</p><p>Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include:</p><ul><li>Medical, Rx, Dental & Vision Insurance</li><li>Personal and Family Sick Time & Company Paid Holidays</li><li>Position may be eligible for a discretionary variable incentive bonus</li><li>Parental Leave and Adoption Assistance</li><li>401(k) Retirement Plan</li><li>Basic Life & Supplemental Life</li><li>Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts</li><li>Short-Term & Long-Term Disability</li><li>Student Loan PayDown</li><li>Tuition Reimbursement, Personal Development & Learning Opportunities</li><li>Skills Development & Certifications</li><li>Employee Referral Program</li><li>Corporate Sponsored Events & Community Outreach</li><li>Emergency Back-Up Childcare Program</li><li>Mobility Stipend</li></ul><p>Guidehouse is an Equal Opportunity EmployerProtected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

<h3>Job Description</h3><div>Job Description<div><div>Summary</div><div>The Data Scientist turns data into high value assets in the form of insights and predictive models that contribute to measurable improvements in business process and performance. The Data Scientist II is expected to work independently with minimal oversight as well as lead project initiatives, mentor and assign work to others as needed. This role requires strong understanding and experience in Applied Statistics for Data Science as well as expertise in data wrangling, building, deploying and maintaining predictive models. You will be responsible to ensure the rest of the team and stakeholders engage in best practices to ensure statistically sound deliverables. You will document best practices as well as lead peer reviews of Data Science work. You will deliver improvements to existing models as well as lead ongoing complex initiatives for revenue optimization, customer segmentation, media-mix optimization, and churn analysis.</div><div><br /></div><div>Visa Sponsorship Available</div><div>No</div><div><br /></div><div>Minimum Requirements</div><div>Combination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check.</div><div>Education:  Bachelor’s Degree From an accredited college/university in one or more of the following: Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Econometrics, Physics, Operations Research or related field.</div><div><br /></div><div>Years of Experience:  </div><div>Minimum of three (3) years of experience in a technical environment.</div><div><br /></div><div>•Other Requirements: Candidates must be comfortable in conversations and be able to demonstrate the following:</div><div>•Understanding of applied Statistics, algorithms, modeling techniques as they relate to Data Science as a practice. </div><div>•Technical experience working with data to include sourcing, extracting, validating, exploring, and transforming data with tools like SQL and Python. </div><div>•Expert knowledge of the Data Science process</div><div>•Initiative, curiosity, and problem-solving skills through personal development projects and ongoing education.</div><div>•Command of Python and/or R with the ability to mentor and train others.</div><div>•Command of SQL with the ability to mentor and train others.</div><div>•Ability to lead, manage and deliver complex Data Science projects with minimal oversight.</div><div>•Command of applied statistics for Data Science. </div><div>• Master's Degree or PhD.</div><div><br /></div><div>Preferred Requirements</div><div>•Master's Degree or PhD</div><div>•Strong knowledge in one or more of the following fields: statistics, data mining, machine learning, simulation, operations research, econometrics, and/or information retrieval.</div><div>•Strong knowledge of the data science process and practical experience using machine learning algorithms including regression, classification, simulation, scenario analysis, modeling, clustering, and decision trees.</div><div>•Knowledge in airline operations, customer interactions and/or inter-departmental limitations across business units.</div><div>•Strong written and verbal communication skills, proven presentation skills to all levels of audience.</div><div>•Strong intellect and analytical aptitude, along with ability to be self-driven.</div><div>•Demonstrated proficiency in Python, R, MATLAB, SQL or other programming languages or packages.</div><div>•Comfortable with a fast paced, dynamic work environment.</div><div>•Strong computer skills including but not limited to MS Office products.</div><div><br /></div><div>Job Duties</div><div>•Analyze and model airline operations and/or customer data and implement algorithms to support analysis using advanced statistical, engineering, and mathematical methods from physics, machine learning, data mining, econometrics, and operations research.</div><div>•Interpret business opportunities into Data Science projects and deliverables. Deliver Data Science solutions and quantify ROI/Business impact.</div><div>•Translate advanced analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as predictive maintenance, delay <span class="long-word">predictions/recovery</span> and Allegiant products upselling/cross-selling; communicate results and educate stakeholders through insightful visualizations, reports and presentations.</div><div>•Facilitate conversations for teams to collaborate in removing impediments, empowering teams to self-organize and improve their productivity. </div><div>•Retrieve, prepare, and process a rich variety of data sources from <span class="long-word">structured/unstructured</span> cloud and non-cloud sources.</div><div>•Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships.</div><div>•Exercise continuous self-development, education and learning.</div><div>•Act as an analytical mentor to others in the organization.</div><div>•Help establish and sustain Data Science culture.</div><div>•Leverage available research data to stay informed about industry related trends, potential disrupters, and competitive capabilities.</div><div>•Document various approaches and model metrics to seek iterative means of improvement.</div><div>•Provide a cohesive end-to-end solution through understanding the “cross-pollination” of <span class="long-word">technology/engineering/commercial</span> verticals and applying both areas of expertise and areas of knowledge.</div><div>•Other duties as assigned.</div><div><br /></div><div>Physical Requirements</div><div>The Physical Demands and Work Environment described here are a representative of those that must be met by a Team Member to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.</div><div><br /></div><div>Office - While performing the duties of this job, the Team Member is regularly required to stand, sit, talk, hear, see, reach, stoop, kneel, and use hands and fingers to operate a computer, key board, printer, and phone. May be required to lift, push, pull, or carry up to 20 lbs. May be required to work various shifts/days in a 24-hour situation. Regular attendance is a requirement of the role. Exposure to moderate noise (i.e. business office with computers, phones, printers, and foot traffic), temperature and light fluctuations. Ability to work in a confined area as well as the ability to sit at a computer terminal for an extended period of time. Some travel may be a requirement of the role.</div><div><br /></div><div>Essential Services Provider</div><div>Allegiant as a national air carrier is deemed an essential service provider during declared national and state emergencies. Team Members will be required to report to their assigned trip or work location during national and state emergencies unless prohibited by local, state or federal order.</div><div><br /></div><div>EEO Statement</div><div>We welcome all individuals from varied backgrounds and experiences to apply. Our company values the unique perspectives and talents that each person brings to our team.</div><div><br /></div><div>Equal Opportunity Employer: Disability/Veteran</div><div>For more information, see <span class="long-word">https://allegiantair.jobs</span></div><div><br /></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><p>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. </p><p>We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision.</p><p></p><p><strong>Key Responsibilities</strong></p><ul><li> Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques.</li><li>Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs)</li><li>Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience.</li><li>Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value.</li><li>Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications</li><li>Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives</li></ul><p><strong>Requirements</strong></p><ul><li><strong>6-10 years of professional experience</strong> as a Data Scientist or in a closely related role</li><li><strong>Strong Problem</strong>-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques</li><li><strong>Proficiency in Python and SQL:</strong> Hands-on experience in writing production-grade code, data manipulation, and querying large databases</li><li><strong>Expertise in NLP:</strong> Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development</li><li><strong> Generative AI Knowledge</strong>: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications</li><li><strong>Curiosity and Continuous Learning</strong>: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI</li><li><strong>Strategic Alignment:</strong> Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact</li><li><strong>Strong Communication:</strong> Ability to articulate complex technical concepts to both technical and non-technical audiences.</li></ul><p><strong>Benefits</strong></p><p>This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. </p><p></p><p><em><strong>Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender <span class="long-word">identity/expression,</span> pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</strong></em></p></div></div>

Job DescriptionJob DescriptionPosition SummaryThis is an ONSITE position located in Honolulu, HI. Secret Clearance required.National Capitol Contracting is seeking a Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards.Essential Duties and ResponsibilitiesAssist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members.Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence.Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.Government Security Clearance RequirementSecret clearance and willingness to obtain TS/SCI and undergo a CI and/or FS polygraph if required.Minimum RequirementsBachelors degree in Computer Science, Data Science, Computational Science, or related field.5years experience within Data Science/Data Warehousing.Experience building and leading data management and analytics projects and initiatives for Federal clients.Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.Knowledge of big data technology infrastructure and environments.Experience within Data warehousing and ETL processes.Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.)Experience in developing machine learning models.Results-driven, creative, and analytical.Strong leadership and ability to work within cross-functional groups.Preferred QualificationsMasters of Science Degree in Computer Science, Data Science, Computational Science or related field.Special Position RequirementsEnvironment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time.NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us at recruiting@nccsite.com. Please reference the position in your email.NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.

Question	Topic	Difficulty	Ask Chance
Model Product Performance Degradation	ML Ops	Medium	Very High
Random Bucketing	A/B Testing	Medium	Low
Changing Composer	A/B Testing	Easy	Very Low