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

Meesho Data Scientist Interview Guide

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


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

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

Overview

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.

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Meesho Data Scientist Interview Process

You are given an array of numerical values, bootstrap samples, and size for a confidence interval.

Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.

Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.

Example

Input:

<pre tabindex="0" class="chroma"><code>values = [1, 2, 3, 4, 5]
</code></pre>

Output

<pre tabindex="0" class="chroma"><code>bootstrap_conf_interval(values, 1000, 0.95) -&gt; (1.2, 4.8)
</code></pre>

In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.

Note: Results may vary due to the randomness of bootstrap sampling.

Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

Let’s say you’ve just started as the operations manager at Lyft, and the CEO has asked you to design a dashboard for weekly leadership meetings. The company is facing increased competition in major cities, and there’s concern about both driver retention and rider wait times. This week, marketing is launching a $2M campaign to boost new rider signups in these cities.

Given limited dashboard space, what specific metrics and visualizations would you include?

Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?

Lyft Ops Dashboard

Data Visualization & Dashboarding

You are given a string that resembles the declaration of a list of dictionaries.

Without using the <code>pandas</code> package, write a function <code>read_split_from_str</code> to split the data into two lists, one for training and one for testing, with a 70:30 split between the training set and the testing set.

Note: Use <code>numpy</code> for random number generation if you need to.

Example

Input:

<pre tabindex="0" class="chroma"><code>list_of_dict_str = &#34;[{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}, {&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def read_split_from_str(list_of_dict_str) -&gt; 
 [
 [{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}],
 [{&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]
 ]
</code></pre>

Write a function that splits the data into two lists, one for training and one for testing.

Split Data Without Pandas

Python & General Programming

Meesho Data Scientist Interview Questions

Join the Fintech revolution and build the future of finance in Mexico! Who are we?We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet. Your Mission, Should You Choose to Accept It:The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models. This role involves working closely with the Lead or Manager Data Scientist, as the middle position is not completely independent and requires assistance and guidance.<ul><li>Model Development and Implementation: Design, develop, and implement machine learning models and algorithms for underwriting and customer management.</li><li>Model improvement: Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.</li><li>Analytics and Communication: Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and communicating findings to non-technical stakeholders.</li></ul> What We're Looking For:<ul><li>Basic qualification: Degree in a quantitative discipline (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).</li><li>Proven experience in Data Science (at least 2 years).</li><li>Knowledge and experience with Machine Learning models. Knowledge of SQL. Experience in production programming in Python and Pandas library. AWS SageMaker</li><li>Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A/B testing, bootstrap, experiment design, simulation.</li><li>Advanced english (must).</li></ul> What We Offer:<ul><li>A dynamic and collaborative work environment where you can develop your full potential.</li><li>Opportunities to learn and grow professionally using cutting-edge technologies.</li><li>A passionate and talented team with whom you can share knowledge and experiences.</li><li>A competitive compensation package and attractive benefits.</li><li>The opportunity to positively impact the lives of thousands of people and contribute to the development of the country.</li></ul>

Senior Data Scientist <ul><li>Salary: £50,000-£55,000</li><li>Must be eligible for SC Clearance</li></ul> The Role: Join a 100+ employee scale-up digital transformation consultancy as a Senior Data Scientist. This role is a blend of remote working, office-based collaboration, and expensed client site visits, mainly around Bristol or across the M4 Corridor. What you’ll do<ul><li>Work on end-to-end data science projects for various clients, including those in the Defence industry.</li><li>Use advanced analytics to analyse complex datasets</li><li>Conduct statistical analysis and hypothesis testing</li><li>Build and deploy predictive ML models</li><li>Mentor junior team members</li></ul> What you’ll bring<ul><li>4+ years’ experience in data science</li><li>Strong Python skills (pandas, numpy, PyTorch etc.)</li><li>Experience with traditional ML techniques and statistical analysis</li><li>Solid consulting skills - communication, problem-solving, stakeholder engagement</li><li>Eligible for SC Security Check clearance</li></ul> Benefits:<ul><li>Private medical insurance</li><li>26 days of annual leave plus UK bank holidays, increasing with tenure</li><li>Additional leave for members of the Reserve Forces and CFAV.</li><li>Annual trip abroad</li><li>Pension scheme</li><li>Funding for relevant qualifications</li></ul>

Senior Data Scientist – Agentic AI We need HANDS ON engineering leaders, not architects. Can sit in Hudson Yards or Bethlehem, PA 2-3 days onsite Hybrid role – candidates must be able to work onsite in Hudson Yards, NY or Bethlehem, PA I will not entertain out of state candidates. We’re looking for a very Senior Data Scientist – Agentic AI with strong hands-on experience in AI/ML, LLMs, and intelligent automation. This role will focus on building, deploying, and scaling Agentic AI systems and enterprise-level generative AI solutions that transform business operations and customer experiences. You’ll work on high-visibility projects alongside senior leadership, translating cutting-edge AI research into real-world impact. Key Responsibilities:<ul><li>Design and deploy Agentic AI solutions to automate complex workflows.</li><li>Operationalize LLMs and generative AI to process unstructured data (contracts, claims, medical records, etc.).</li><li>Build autonomous agents and reasoning systems integrated into enterprise platforms.</li><li>Partner with engineering and AIOps teams to move models from prototype to production.</li><li>Translate research in reinforcement learning and reasoning into business-ready AI applications.</li><li>Mentor junior data scientists and establish best practices for scalable AI development.</li></ul> What We’re Looking For:<ul><li>PhD (2+ yrs) or Master’s (10+ yrs) in Statistics, Computer Science, Engineering, or Applied Mathematics.</li><li>5+ years of hands-on AI/ML development experience.</li><li>Strong programming skills in Python, PyTorch, TensorFlow, LangGraph.</li><li>Proven background in machine learning, optimization, and statistical modeling.</li><li>Excellent communication, leadership, and cross-functional collaboration skills.</li></ul>

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions. What You’ll Be Doing: <ul><li>Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.</li><li>Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.</li><li>Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.</li><li>Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.</li><li>Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.</li><li>Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.</li><li>Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility</li><li>Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.</li><li>Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities. </li></ul>What We’re Looking For: <ul><li>Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.</li><li>Strong familiarity with the gaming industry and contemporary gaming experiences.</li><li>8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.</li><li>Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.</li><li>Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.</li><li>Expertise in causal inference techniques and designing both randomized and quasi-experiments.</li><li>Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.</li><li>Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.</li><li>Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).</li><li>A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation. </li></ul>Benefits: <ul><li>Discretionary bonus opportunity</li><li>Hybrid Working (within Flexmodes)</li><li>Private Medical Insurance</li><li>Dental Scheme</li><li>25 days holiday per year</li><li>On Site Gym</li><li>Subsidised Café</li><li>Free soft drinks</li><li>On site bar</li><li>Access to cycle garage and showers </li></ul>Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Job Description:Job Family:Data Science Consulting Travel Required:Up to 75%Clearance Required:Active Secret What You Will Do: Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. Belong to a collaborative team dedicated to AI, Advanced Analytics and Intelligent Automation. Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering. Work as a data scientist/data analytics/business intelligence professional in collaboration with cross-functional teams. Continue career development in data science and data analytics software, methods, and consulting. What You Will Need: An ACTIVE and MAINTAINED SECRET Federal or DoD security clearance Bachelor's degree is required Minimum THREE (3) years of relevant professional experience OR 2 years of relevant professional experience with a Master's degree High level of proficiency in Python Expertise in Tableau dashboard development Ability to design data modeling processes, create algorithms and predictive models, as well as perform custom analysis Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success Experience manipulating large data sets and using them to identify trends and reach meaningful conclusions to inform strategic business decisions Ability to clean, aggregate, organize data from multiple sources and transfer this information to data warehouses Ability to define data requirements and ensure storage, availability, and coherence of electronically stored information to guarantee it meets the organization's needs Competency in data mining, including structuring of raw data to formulate or recognize patterns to generate new information and unlock information and insights that help the organization better manage risks Proficiency in PowerBI Ability to support on-site and hybrid projects in the DC metro area What Would Be Nice To Have: Knowledge of additional coding languages such as R and SQL Competencies in IT Risk and/or Cyber domains Quality control experience including debugging and conducting Quality Assurance of new features and enhancements Ability to facilitate meetings and present topics to diverse groups of functional and technical staff Experience developing new and re-designing existing processes to meet new and/or evolving business requirements Excellent verbal and written communication skills The annual salary range for this position is $113,000.00-$188,000.00. 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. What We Offer: 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: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected 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.

Job Description:Data Scientist, SeniorThe Opportunity: In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Analysts employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders.As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data.On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.What You'll Work On: nDesign and execute statistical analyses on large, complex datasets from diverse sources.nDevelop production-quality data visualizations, plots, and dashboards for technical and executive audiences.nLead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.nCollaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.nRespond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.nMentor junior data scientists and establish best practices for reproducible, well-documented analyses.nCommunicate complex statistical findings to both technical teams and senior DoD leadership.nnJoin us. The world can't wait.You Have: n7years of experience with data science, statistical analysis, or quantitative researchn7years of experience with the development of algorithms leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or tidyversen7years of experience analyzing structured and unstructured data sourcesnExperience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantificationnExperience with data management in SQL, including managing large-scale data across multiple databases and data warehousesnExperience working with large-scale datasets and distributed computing frameworks, including Spark or DASKnTS/SCI clearancenMaster's degreennNice If You Have: nExperience with natural language processing (NLP) techniques, such as text classification or entity recognitionnExperience with geospatial data analysisnExperience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processingnExperience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teamsnExperience working with the U.S. Department of Defense or the Intelligence CommunitynExperience with graph analytics, network analysis, or anomaly detection techniquesnExperience with version control (Git) and reproducible research practicesnKnowledge of machine learning model development and deployment practicesnPossession of excellent written and verbal communication skillsnDoctorate degree in Statistics, Computer Science, Data Science, or EconomicsnnClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.nIf this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.nIf this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.nnCommitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job Description: Data Scientist (Minimum 5 Years – ML, NLP, GenAI/LLM/RAG) **Only immediate Joiners Position: Data ScientistExperience Requirement: Minimum 5 years of hands-on experience in Data ScienceLocation: Hybrid[Gurgaon/ Bangalore]Employment Type: Full-time About the RoleWe are looking for a highly skilled Data Scientist with at least 5 years of industry experience. The ideal candidate must have a strong foundation in Classical Machine Learning, extensive experience in NLP, and recent, practical experience working with Generative AI, LLMs (including LLaMA), and RAG-based architectures. You will be responsible for building end-to-end AI solutions that solve real-world business problems. Key Responsibilities<ul><li>Develop, evaluate, and optimize Classical ML models such as:</li><li>Random Forest, XGBoost</li><li>Clustering (K-Means, DBSCAN)</li><li>Segmentation techniques</li><li>Build, fine-tune, and maintain NLP models for tasks like text classification, NER, sentiment analysis, summarization, topic modeling, and document processing.</li><li>Work with LLMs and Generative AI models (LLaMA, GPT, Mistral, etc.) including fine-tuning, prompt engineering, and experimentation.</li><li>Design and implement RAG (Retrieval-Augmented Generation) systems—document chunking, embedding generation, vector database integration, and retrieval logic.</li><li>Collaborate cross-functionally to translate business requirements into robust AI/ML solutions.</li><li>Conduct comprehensive data analysis, preprocessing, feature engineering, and model evaluation.</li><li>Present insights clearly to both technical and non-technical stakeholders.</li></ul> Required Skills & Qualifications<ul><li>Minimum 5 years of hands-on experience in Data Science (mandatory).</li><li>Solid experience with Classical Machine Learning techniques and tools.</li><li>Extensive, practical experience with Natural Language Processing, including modern libraries such as Hugging Face, spaCy, NLTK, and Gensim.</li><li>Strong hands-on experience with Generative AI and Large Language Models, including:</li><li>LLaMA, GPT, Mistral or similar models</li><li>Fine-tuning and prompt engineering</li><li>Proven experience building RAG pipelines with vector databases like FAISS, Chroma, Pinecone, or Weaviate.</li><li>Strong proficiency in Python and ML/NLP libraries (scikit-learn, PyTorch, TensorFlow).</li><li>Strong analytical and problem-solving skills.</li><li>Ability to clearly communicate complex concepts to diverse audiences.</li></ul> Preferred Qualifications<ul><li>Experience creating end-to-end AI prototypes or applications.</li><li>Exposure to LLM evaluation techniques and benchmarking.</li><li>Experience in building conversational AI or search-driven GenAI systems.</li></ul> Why Join Us<ul><li>Work on exciting GenAI, LLM, NLP, and RAG projects.</li><li>Opportunity to innovate and own end-to-end AI use cases.</li><li>Supportive, collaborative team culture.</li><li>Competitive package and benefits.</li></ul>

Job Description:Job Family:Data Science Consulting Travel Required:Up to 25% Clearance Required:Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Senior Data Scientist to join our AI and Data practice, supporting transportation and federal civilian agency initiatives. This hands-on leader will provide strategic advice, technical oversight, and direct support for data-driven projects. The role requires expertise in advanced analytics, data governance, and AI/ML, enabling clients to achieve mission outcomes and operational efficiency. Key Responsibilities: Serve as a trusted advisor on data strategy, governance, and analytics modernization Lead engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes Design and oversee AI/ML and analytics solutions using platforms such as Databricks, Snowflake, Azure/AWS/GCP Develop, maintain, and enhance Python-based tools and scripts for data analysis, automation, and reporting Apply CRISP-DM, Agile Kanban, and human-centered design methodologies to deliver impactful solutions Mentor multidisciplinary teams, fostering innovation and continuous learning Collaborate with stakeholders to translate business challenges into actionable data solutions Support business development through proposal writing and strategic pursuits Drive adoption of data culture and literacy through enablement resources, training, and community of practice sessions What You Will Need:US Citizenship is requiredBachelor's degree required Minimum FIVE (5) years of hands-on data science, engineering, and analytics experience Minimum TWO (2) years delivering data-driven transformation programs Expertise in Python for data analysis, automation, and model development, including experience with libraries such as Pandas, NumPy, scikit-learn, and data visualization tools Experience with R, PowerBI, MicroStrategy, and cloud analytics environments Strong understanding of AI/ML technologies, data platforms, and analytics methodologies Experience developing and delivering self-service data products, dashboards, and AI/ML solutions Demonstrated experience in business development lifecycle Proven track record leading large-scale analytics and AI engagements Ability to collaborate across technical and business audiences Excellent communication, facilitation, and relationship-building skills What Would Be Nice To Have:Master's Degree AI/LLM Certifications Project Management Professional (PMP) Experience with federal contracting and procurement processes Familiarity with DAMA-DMBOK, DCAT, and federal data governance frameworks The annual salary range for this position is $130,000.00-$216,000.00. 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. What We Offer: 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: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected 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.

Als Data Analytics Specialist / Data Analist / Data Scientist ben je verantwoordelijk voor het verzamelen, analyseren en interpreteren van data om inzichten te verkrijgen en te gebruiken voor datagedreven besluitvorming bij of voor onze gerenommerde klanten waaronder Belastingdienst, Gemeente Den Haag, diverse ministeries, Centraal Justitieel Incassobureau of VGZ. Afhankelijk van het ervaringsniveau ligt de focus op verschillende aspecten van data-analyse en data science. Waarom past deze vacature bij jou?Je bent analytisch, nieuwsgierig en gedreven om maatschappelijke impact te maken met data. Je schakelt gemakkelijk tussen techniek en beleid en weet abstracte analyses te vertalen naar concrete inzichten. Je draagt graag bij aan kennisdeling, continu verbeteren en datagedreven werken binnen onze klanten. Je vindt het leuk om kennis te delen met collega’s, klanten en vakgenoten. Je voelt je thuis in een informele, collegiale en professionele omgeving, waar de aandacht voor de klant en voor de medewerker centraal staan. Wat ga je doen?<ul><li>Verzamelen, opschonen, transformeren en valideren van data uit verschillende bronnen.</li><li>Toepassen van statistische methoden en data-analyse technieken om patronen, trends en inzichten uit data te halen.</li><li>Ontwikkelen van geavanceerde machine learning modellen.</li><li>Resultaten van analyses visualiseren en presenteren in heldere dashboards, rapporten en presentaties.</li><li>Adviseren over datagedreven besluitvorming aan management en stakeholders.</li><li>Coachen en (bege)leiden van medior en junior Data Specialisten.</li><li>Effectief samenwerken met Data Engineers, Data Stewards, business analisten en andere stakeholders.</li></ul> Wat kun jij van ons verwachten?<ul><li>Een vast dienstverband voor onbepaalde tijd, een max. salaris van € 8.000,- bonusregeling, leaseauto, pensioenregeling en maandelijkse onkostenvergoeding;</li><li>Opdrachtkeuzevrijheid: Jij bepaalt in overleg waar je aan werkt, met de begeleiding van een personal coach;</li><li>Per jaar € 5.000,- opleidingsbudget en daarnaast ook nog eens 5-10 dagen studietijd;</li><li>Kennissessies met vakgenoten en inhoudelijke events;</li><li>Minimaal 25 vakantiedagen, met de mogelijkheid om extra dagen op te bouwen of te verkopen;</li><li>Sociale events zoals sportdagen, weekend weg en gezellige borrels;</li><li>Een vestiging bij jou in de buurt.</li></ul> Jouw ontwikkeling, onze prioriteitCIMSOLUTIONS biedt jou een omgeving waarin je kunt doorgroeien naar Data Architect / Data Consultant. Je krijgt ruimte, ondersteuning en middelen om je te specialiseren en te excelleren. We bieden toegang tot diverse opleidingen en ondersteunen je met ervaren collega's. Onze slogan "Learn, create and make it work" is niet zomaar een zin – het is de kern van hoe wij werken en ontwikkelen. CIMSOLUTIONS heeft een actief diversiteitsbeleid en streeft naar een evenwichtige verdeling van professionals naar o.a. leeftijd, gender, etnische achtergrond en cultuur, arbeidsvermogen, kennis en competenties. Hierbij benadrukken wij dat wij gelijke kansen belangrijk vinden in de selectie. Wat breng jij mee?<ul><li>WO-diploma in een relevante richting.</li><li>Aantoonbare ervaring met het uitvoeren van data-analyses.</li><li>Diepgaande kennis van statistische methoden, machine learning technieken en algoritmen.</li><li>Ervaring met het ontwikkelen en trainen van machine learning modellen.</li><li>Ervaring met data-analyse tools en programmeertalen (bijv. Python of R).</li><li>Kennis van actuele ontwikkelingen op het gebied van data-analyse, data-ethiek en relevante wet- en regelgeving.</li><li>Uitstekende communicatieve vaardigheden, zowel mondeling als schriftelijk.</li><li>Voor senior functies ervaring met het leiden van data science projecten en kennisdeling.</li><li>Minimaal 3 jaar relevante werkervaring, bij voorkeur in een Agile omgeving.</li></ul> Waarom CIMSOLUTIONS?15 keer Top Employer!<ul><li>Uitstekend salaris;</li><li>Vrije keuze leaseauto;</li><li>€ 5000,- opleidingsbudget;</li><li>Aantrekkelijke bonussen;</li><li>Veel sociale evenementen;</li><li>Uitdagende projecten;</li><li>Gevarieerde opdrachten;</li><li>Gerenommeerde klanten.</li></ul> Heb je interesse?Wij vinden het leuk om op ons hoofdkantoor of één van onze lokale vestigingen of online kennis te maken. Solliciteer via onderstaande button of neem voor meer informatie contact op met ons recruitment team via:<ul><li>Mail: recruitment@cimsolutions.nl;</li><li>Telefoon: 0499-366 000;</li><li>of bezoek onze website: <a>www.cimsolutions.nl/werken-bij/</a></li></ul>

Job Description:Job Family:Data Science Consulting Travel Required:Up to 10% Clearance Required:Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do:Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity.Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis.Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights.Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders.Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making.Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need:US Citizenship is requiredBachelor's degree is requiredMinimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations.Skilled in SQL, R, and other languages to assist in database querying and statistical programming.Strong foundational knowledge and experience in statistics, probability, and experimental design.Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker).Experience applying data governance concepts and techniques to assure greater data quality and reliability.he curiosity and creativity to uncover hidden patterns and opportunities.Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have:Hands-on experience with Python, SQL, and modern ML frameworks.Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models.Expertise in Python or Java for data processing.Demonstrated work experience within the public sector.Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $113,000.00-$188,000.00. 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. What We Offer: 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: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected 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.

Question	Topic	Difficulty	Ask Chance
Bootstrapping Confidence Intervals	Statistics	Easy	Very High
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Very High
Split Data Without Pandas	Python & General Programming	Medium	Very High

Meesho Data Scientist Interview Questions + Guide in 2025

Overview

Meesho Data Scientist Interview Process

Meesho Data Scientist Interview Questions

Meesho Data Scientist Jobs