ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Senior Data Analyst [T500-18077]
Company: Careem
Location: Bengaluru, Karnataka, India
Description:
The role is responsible for driving data-driven insights and strategies to fuel user acquisition, engagement, and retention across Careem's platform and verticals. The role holder will leverage advanced data analytics, understanding of consumer behavior and prior grasp of key fundamental growth metrics to define and analyze growth opportunities, optimize campaigns and initiatives and improve key metrics such as CLTV, CAC, AOV and ARPU




What you'll do:

Data Collection and Preparation:

Extract Data: Retrieve data from multiple sources (SQL databases, APIs, and third-party tools) to support analysis
Data Cleaning and Wrangling: Prepare and clean datasets to ensure accuracy and usability for analysis
Maintain Data Integrity: Regularly verify and maintain data quality, ensuring consistent and reliable information for decision-making
Automate Data Pipelines: Develop and refine scripts to automate repetitive data tasks, improving efficiency.




Analysis and Insights:

Conduct Exploratory Data Analysis (EDA): Perform preliminary analysis to uncover trends, patterns, and initial insights at channel, vertical and campaign level
A/B Testing: Design, run, and analyze A/B tests to measure the effectiveness of growth initiatives.
User Behavior Analysis: Analyze user activity, segment performance, and identify key behavior trends to support user growth, engagement, and retention.
Predictive Analysis: Apply advanced statistical techniques to forecast trends and potential outcomes.




Reporting and Visualization:

Build Dashboards: Develop and maintain dashboards (e.g., in Tableau, Power BI) to provide real-time insights to stakeholders.
Generate Regular Reports: Create and distribute weekly and monthly reports on key metrics and performance indicators.
Visualize Data: Present insights through clear visualizations to make complex data understandable and actionable.
KPI Tracking: Track and report on core growth KPIs, including retention, churn, and acquisition metrics
What you'll need
Bachelor’s degree in Engineering/Mathematics/Statistics from a Tier-1Institute
Certifications in Data Intelligence/BI reporting/ AI preferred
4-5 years of proven experience in a similar role preferably in a large Scale B2C startup(Food delivery, e-commerce, gaming) or consumer internet business
Well versed in data mining, statistical modeling and advanced data analysis
Strong hold of Python, SQL and data visualization tools (Power BI, VBA, Tableau)and PowerPoint
Strong understanding of A/B Testing, Regression Analysis, User Segmentation, Cohort analysis and churn/attrition modeling, CLTV models
Demonstrated experience in applying behavior analytics principles to growth models
Good communication skills with ability to effectively present results to both technical and non-technical audience
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Job Title: Analista de Dados II
Company: Meta
Location: Brazil
Description:
O que buscamos?

Atribuições Principais

Executar atividades com equipes de tecnologia em projetos de Ciência de Dados;

Minerar dados em fontes primárias e secundárias;

Limpar e organizar dados para descartar informações irrelevantes;

Analisar e interpretar os resultados usando ferramentas e técnicas estatísticas;

Identificar tendências e padrões em conjuntos de dados;

Identificar novas oportunidades para melhoria de processos;

Criar e apresentar relatórios para os gestores;

Projetar, criar e manter bancos de dados e sistemas de dados;

Corrigir problemas de código e problemas relacionados a dados.

Requisitos

Experiência sólida com SQL para análise e manipulação de dados;

Domínio em Power BI para criação de dashboards e relatórios gerenciais;

Diferenciais (desejáveis). Python e Databricks

Diferenciais

Localidade da posição:

Por que construir sua carreira na Meta?

Oferecemos autonomia, metas claras e um ambiente dinâmico e desafiador, onde os profissionais têm oportunidade para interagir com diferentes tecnologias, participar de todos os tipos de projetos, trazer novas ideias e de trabalhar de qualquer lugar do Brasil e (por que não?) do mundo. Além disso, somos uma das melhores empresas para se trabalhar no Brasil segundo a Great Place to Work e uma das 10 empresas que mais cresce no país há 3 anos consecutivos, segundo o Anuário Informática Hoje.

Quais são nossos valores?


Somos pessoas servindo pessoas
Pensamos e agimos como donos
Temos gana por performance
Crescemos e aprendemos juntos
Buscamos excelência e a simplicidade
Temos inovação e criatividade no nosso DNA


Todas as pessoas são bem-vindas independentemente de sua condição, deficiência, etnia, crença religiosa, orientação sexual, aparência, idade ou afins. Queremos que você cresça conosco em um ambiente acolhedor e repleto de oportunidades.

Se identificou? Então, #VemSerMeta!
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Job Title: Business Intelligence Analyst
Company: Mastek
Location: Bengaluru, Karnataka, India
Description:
Experience: Atleast 8 years




Must have: SQL, Power BI and/or Tableau




Good to have: Python, PowerAutomate platforms

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Job Title: Marketing Data Analyst
Company: Nicholson Glover
Location: London Area, United Kingdom
Description:
Location: West London (Hybrid)

Industry: Retail

Function: CRM Analytics | Loyalty Programmes | Marketing Insight

Contract Type: Permanent




✨ The Opportunity

Are you passionate about turning CRM and loyalty data into actionable insight that improves customer experiences? A major UK organisation, globally recognised in its sector, is looking for a CRM & Loyalty Data Analyst to join its growing marketing data team.

This is a unique opportunity to shape customer strategy in a high-impact environment, using data to optimise marketing communications, loyalty engagement, and customer lifetime value.




🔍 What You’ll Be Doing

Analyse CRM and loyalty programme data to uncover insights that improve targeting, retention, and customer value.
Work with internal and agency teams to report on performance of customer marketing and loyalty campaigns.
Develop regular and ad-hoc reports focused on segmentation, customer journeys, and campaign KPIs.
Collaborate with performance marketing, brand, and data platform teams to ensure consistency and integration across data sources.
Provide recommendations that directly influence marketing personalisation and campaign optimisation strategies.
Contribute to a more self-service analytics approach by improving data processes and dashboard efficiency.

✅ What We’re Looking For

3–6 years of experience in a data analytics role, with a focus on CRM or loyalty marketing.
Deep understanding of CRM systems, customer data, and lifecycle marketing metrics.
Strong data storytelling skills, with the ability to present complex insights clearly to marketing and commercial stakeholders.
Experience managing and integrating data from multiple platforms (e.g., CRM, email, loyalty apps, social).
Exposure to campaign performance reporting, customer segmentation, and A/B testing.
Desirable: experience with Python or R for marketing analytics or performance optimisation. Salesforce, Power BI, Tableau for Data Visualisation.




Bonus if you have experience with tools like Salesforce, Power BI, Tableau, or other customer analytics platforms—though these are not required.

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Job Title: Analista de Business Intelligence Júnior
Company: iFood
Location: Brazil
Description:
Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:


Apoiar a construção do plano dos principais indicadores do Clube iFood, definindo projeções, diarizações e acompanhamento das metas do ciclo.
Realizar alinhamento constante com os times de Marketplace do Clube para garantir que o planejamento esteja alinhado com o realizado nos meses.
Trabalhar diariamente com o time de dados do Clube para gerar análises e deep dives de desvios entre plano e realizado, além de indicadores sensíveis do Clube.
Gerar análises e business presentations conectando os dados com as estratégias de negócio e de crescimento do Clube iFood.
Compreender o dia a dia do Clube e das mecânicas de Growth, identificando oportunidades por meio da exploração de dados para alavancar e atingir os objetivos estratégicos.
Realizar desdobramento tático de projetos estruturais da área através de análises e materiais executivos.


Ingredientes Que Buscamos:


Nível avançado em Google Sheets ou Excel.
Conhecimentos intermediários em SQL.
Alta capacidade de resolução de problemas e raciocínio lógico.
Boa capacidade de comunicação e elaboração de apresentações para diferentes públicos.
Facilidade para lidar com projetos dinâmicos e entender oportunidades de melhoria nas estratégias.


Para Realçar o Sabor:


Profissional organizado, com olhar atento aos detalhes e comprometido com a excelência operacional.
Habilidades de relacionamento com times e pessoas de diferentes perfis.
Proatividade e vontade de aprender são essenciais.
Capacidade de realizar de forma autônoma as principais demandas da área.


Buscamos uma pessoa comprometida com a excelência, que tenha vontade de aprender e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

Ref. 27992
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Job Title: Data Scientist, Product Analytics
Company: Handshake
Location: San Francisco, CA
Description:
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

Handshake is looking for a Data Scientist, Product Analytics to help shape how we measure and grow the impact of our products across students, employers, and university partners. In this role, you’ll partner with product, engineering, and analytics stakeholders to deliver actionable insights and experimentation frameworks that guide key product and growth decisions. You’ll be embedded in our Data team and report to the Senior Manager of Data & Analytics.

Your role


As a Data Scientist at Handshake, you will:
Collaborate with product managers and engineers to identify key metrics and drive analytics workstreams
Analyze user behavior to uncover trends, patterns, and opportunities for product improvement
Contribute to experiment design, implementation, and analysis to guide feature development
Build and maintain dashboards and reports to support ongoing tracking and decision-making
Help define and refine data models in partnership with Analytics Engineering
Translate complex data findings into clear, actionable insights for cross-functional stakeholders

Your Experience


3+ years of professional data science experience
Experience using data to support product development, including working with cross-functional teams
Proficiency in SQL and comfort working in Jupyter-style notebooks using Python or R
Awareness with A/B testing and experimentation best practices
Ability to conduct analysis across user cohorts, funnels, and time-series datasets
Robust written and verbal communication skills, especially in summarizing insights for non-technical audiences
Experience with BI tools such as Looker, Hex, or Mode


Bonus areas of expertise


Exposure to product analytics in a multi-sided marketplace
Knowledge with dbt or similar data modeling frameworks
Prior experience contributing to data-informed product strategies


Compensation Range


$150,000-$200,000
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Job Title: Growth Data Scientist/ Analyst
Company: Crypto.com
Location: United States
Description:
We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.




Responsibilities
Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, , paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness
Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems
Analyze data to derive actionable insights that drive business decisions and performance improvements
Automate repetitive tasks and data processes to enhance team efficiency
Collaborate with cross-functional teams to support data-driven decisions and project implementations
Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis





Requirements
Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields
Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus
Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous
Proficiency in SQL and familiarity with data visualization tools like Tableau
Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing, and presenting findings
Knowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platforms
Excellent verbal and written communication skills





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Job Title: Data Scientist
Company: StreetID
Location: New York City Metropolitan Area
Description:
Building on our heritage of public markets investing, lifecycle investment platform has expanded across venture, growth, thematic, and structured capital strategies over the last decade. Our singular obsession with technology drives how we work as a firm. As investors, we seek out the greatest innovators with the biggest ideas. We are a founder-led firm dedicated to helping fellow founders build. At every stage, we champion the insights, connections, and experience that create world-shaping companies.

Data Science Team

The data science team works directly with the investment professionals on a daily basis and is integral in all current and future investments across the firm. Our goal is to track every component of the economy in real-time.

This encompasses projects such as:

· Forecasting entries on a company’s income statement via real-time alternative datasets

· Tracking the launch of a new product and its impact on that company versus its competitors

· Analyzing and decomposing stock market performance of various securities in different scenarios

· Quantitatively screening for emerging venture-backed companies

· Building shared tooling to improve the team’s day-to-day workflow

Job Description

The data scientist role uses SQL, R, and data visualization to inform investment decisions. This role is based in our New York City office.

This is a generalist role that works across sectors, company stages, and datasets.

The ideal candidate is simultaneously very technical and a strong communicator, is eager to take on responsibility quickly, and can juggle multiple priorities.

Key skills include:

· Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas)

· Analysis and interpretation of data

· Strong communication skills, needed to translate between technical projects and business stakeholders

· Ability to manage multiple workstreams simultaneously

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Job Title: Data Scientist - Sports Analytics
Company: Inizio Partners
Location: New York City Metropolitan Area
Description:
Job Title: Senior Data Scientist

Location: Hybrid - NYC




Requirements:




Position Summary:

Our client is seeking an experienced and driven Senior Data Scientist to support advanced analytics initiatives for our global clients in the Sports & Media domain. This role focuses on developing predictive models, extracting insights from large-scale datasets, and translating analytical findings into actionable business strategies. The ideal candidate brings deep media industry expertise, hands-on modeling experience, and a strong ability to communicate results to both technical and business stakeholders.




Responsibilities:

Develop and deploy advanced statistical and machine learning models across use cases such as churn prediction, audience segmentation, content recommendation, and customer lifetime value.
Translate business challenges into analytical frameworks and deliver high-impact insights that influence strategy and operations.
Analyze large, complex datasets using Python, SQL, PySpark and statistical tools to derive meaningful patterns and trends.
Collaborate with stakeholders across marketing, product, and data teams to understand needs and deliver actionable solutions.
Build dashboards and visualizations to communicate insights clearly to cross-functional and senior leadership teams.
Stay current with the latest media analytics trends and techniques, continuously improving analytical approaches.
Mentor junior analysts and contribute to best practices in model development, validation, and deployment.




Required Qualifications:

Bachelors or Masters degree in Statistics, Computer Science, Economics, or a related quantitative field.
3 - 8 years of experience in data science or advanced analytics, with at least 2 - 3 years in the media or entertainment domain.
Proven ability to build and implement models for customer behavior, retention, personalization, or marketing optimization.
Proficiency in Python, SQL, and statistical/ML libraries (e.g., scikit-learn, XGBoost, stats models).
Strong storytelling and communication skills with experience presenting to business stakeholders.
Ability to independently manage analytics projects and collaborate across technical and business teams.




Preferred Qualifications:

Experience deploying models on cloud platforms such as AWS, GCP, or Azure.
Deep understanding of media domain metrics, user behavior, and content performance drivers.
Exposure to Generative AI applications and large-scale personalization in media use cases.
Proven ability to collaborate with global stakeholders in cross-functional, matrixed environments.
Familiarity with productionizing models and working closely with MLOps or engineering teams.

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Job Title: Machine Learning Engineer
Company: Bytez
Location: San Francisco Bay Area
Description:
Bytez is a technology company dedicated to making AI universally accessible. We're helping build a better internet, where anyone can leverage AI to bring their ideas to life. That's why we're building a primitive superintelligent AI system that's solely specialized in AI research and models. We believe 1,000,000 networked brains are better than one neural network.




Bytez is honored to be used by hundreds of thousands of AI professionals every month, and be the official technology used by top AI journals, such as NeurIPS and CVPR.




Join us in a different kind of revolution.




About the Role

We’re looking for a passionate Machine Learning Engineer with full-stack expertise. You must be passionate about AI and agent technology.




You'll join our AI Engineering team, which is building an AI Agent that can run an unprecedented 100k models across tasks. Our agent intelligently orchestrates workflows by selecting and executing the most effective open and closed-source models for the requested task. In addition to contributing to the agent, you'll work with enterprises in the adoption of the agent.




You'll have access to unpublished AI research from top conferences, and you'll help these conferences make this AI research accessible to the world.




This will be your focus for the next 6 months. If that path of learning sounds exciting, let's collaborate. 




Tech Stack
Front-end: Next.js, React, MobX, Firebase, MUI
Languages: Node.js, Python, Julia
Cloud: GCP (primary), AWS (secondary)
Architecture: Serverless, event-driven
Databases: NoSQL, Graph




Your Skills

Full-stack Development

Authored or contributed significantly to multiple full-stack applications
Experience deploying scalable services on GCP or AWS




Machine Learning Engineering

Delivered 3+ production ML projects end-to-end, from data preprocessing to deployment
Expertise in fine-tuning LLMs and other open and proprietary models
Skilled at deploying and maintaining production ML models with scalability and reliability in mind
Constant learner, staying up-to-date with the latest AI research and techniques




Sound exciting? Send us your GitHub or join us in Discord.

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Job Title: Data Scientist- Entry Level
Company: Incedo Inc.
Location: Florham Park, NJ
Description:
About Incedo

Do amazing things. We, at Incedo, a global digital transformation expert, empower companies to realize sustainable business impact from their investments in digital transformation.




Join our team to work on challenging problems in industry-leading client organizations. Build on the foundation of our integrated services and platforms that are powered by strong engineering, data science and analytics, design capabilities and our deep domain expertise. With over 2,500 people in six offices in the US and India, and a large, diverse portfolio of Fortune 500 clients worldwide, we work across telecom, financial services, product engineering and life sciences & healthcare industries.

Our flexible career paths will allow you to grow depending on your skills and interests. Incedo University, our proprietary learning platform, will provide you with ample learning opportunities from structured onboarding programs to engaging programs throughout your career at Incedo. We work hard and play hard and have a fun and friendly work culture

About the Job

Data Scientist at Incedo develop the next-generation data-science technologies that impact Fortune 20 customers. Our products need to manage information on a massive scale, so we're always looking for engineers who bring fresh ideas from all areas— distributed computing, large-scale system design, data storage, and UI design. Our engineers are versatile, are leaders and are enthusiastic about taking on new problems across the fullstack. Does this sound like you?

As an Associate Data Scientist, you will work on a specific project critical to Incedo’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

Responsibilities

Perform Exploratory Data Analysis, test hypotheses, and generate insights as part of the analytical solution being built.
Participate in solution approach and methodology design for the project/workstream
Be integral part of the team performing feature engineering, model building, model evaluation, and deployment
Masters’ Degree in Applied Mathematics, Computer Science, Statistics, Business Analytics, Data Science, or related areas.
Good working knowledge of common data science toolkits, such as Python/R and SQL based query languages
Has worked on multiple projects involving Machine Learning/Data Science
A good grasp of at least 2-3 Machine Learning Concepts such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, KNN, K-Means, Recommendation systems etc. along with the math behind some of the techniques
Ability to articulate problem statements to formulate data science or analytics approaches
Ability to communicate thought process clearly
0-3 years of prior work experience in Data and Analytics domain like IT Services, Consulting, Corporate etc.

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