ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Analyst Sr
Company: Frávega
Location: Buenos Aires, Buenos Aires Province, Argentina
Description:
En la Dirección de Tecnología desarrollamos el mejor stack tecnológico para potenciar la omnicanalidad, mejorando la interacción y el servicio en todos los puntos de contacto desde la venta, postventa, logística, y gestión en sucursales.

🚨🚀 Tenemos una posición de Data Analyst Sr en el equipo de Data Science que va a trabajar en


Colaborar con los equipos de marketing y ecommerce.
Reunión con clientes internos y externos.
Análisis de datos recurrentes y/o específicos.
Limpieza de datos.
Elaboración de presentaciones, teniendo en cuenta los análisis de datos.
Creación de nuevas métricas que puedan aportar valor al negocio.
Armado de audiencias y segmentaciones para campañas de Email mktg y Paid Media.


Requisitos


Graduado o carrera avanzada en Ciencias de datos, Lic. en Matemáticas, Lic. en Física, Lic. en Análisis de Sistemas, Ingeniería en Informática, Lic. En Economía o afines.
Conocimiento en plataformas de marketing digital (Facebook Ads, Google Ads, DV360, etc).
Habilidad para traducir análisis a equipos no técnicos.
Disposición para aprender el uso de herramientas o lenguajes de programación.
Experiencia mínima requerida de 3 años en roles similares.
Experiencia en
Herramientas de dashbaording (Microstrategy y Looker).
Base de datos SQL y NoSQL.
Python.
Técnicas de análisis de datos estadísticos y modelos de machine learning.
Google Analytics.
Metodologias Agiles.
Beneficios


💥“Beneficio Frávega” descuentos en nuestros productos
👨‍🎓👩‍🎓Convenios con las principales universidades
📚Descuentos en centros de idioma
🤸🏻Descuento exclusivo en Gimnasio para vos y tu grupo familiar
🛒Plataforma Club de Beneficios
🛍 Promociones y descuentos en comercios de diferentes rubros
🏧 Convenios con los principales bancos
💰Reintegro en guardería
🔋Viernes Flex
🌴Semana “Frávega Tech” semana adicional de vacaciones


En Frávega, evolucionamos constantemente. Nos adaptamos a cada cambio, incorporamos tecnologías y ampliamos nuestro alcance para ser referentes del retail omnicanal en Argentina.

💟 Nuestro ecosistema de negocio integrado por nuestras distintas unidades (sucursales, e-commerce, centro logístico, Frávega Tech, Electrofueguina y Casa Central) trabajan en sinergia para ofrecer la mejor experiencia a cada uno de nuestros clientes.

💟 ¿Te parece desafiante? Si estás buscando formar parte de un equipo cercano, confiable y ágil, donde cada desafío es una oportunidad de desarrollo ¡Postulate y sumate a una compañía que avanza y te impulsa a más!

¿Te querés sumar y ser parte de Frávega? Estando cerca, somos el mejor equipo por lejos.
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Job Title: Analista de Dados | Fortaleza | Aldeota | Presencial
Company: Tecla T
Location: Fortaleza, Ceará, Brazil
Description:
O foco da vaga está na execução de tarefas técnicas do dia a dia, como:

Automatizar envios de e-mails em massa e rotinas internas;

Apoiar a conciliação e revisão de planilhas de controle;

Executar e manter scripts em Python e SQL para pequenas automações e consultas;

Auxiliar na organização de processos operacionais com o uso de tecnologia.

Requisitos

Obrigatórios:

Excel ou Google Sheets avançado (fórmulas, organização, planilhas de controle);

SQL intermediário (consultas simples, extração de dados);

Experiência com rotinas operacionais em ambiente técnico (TI, suporte, infraestrutura);

Organização, proatividade e capacidade de execução.

Desejáveis

Conhecimento básico em Python para automações simples (execução de scripts, geração de arquivos, .py ou .exe);

Noções de ferramentas como Power BI, Power Automate ou Make.com;

Capacidade de entender processos e propor pequenas melhorias operacionais.

Analista de Dados com foco em Processos

Benefícios

Cartão Flash no valor de R$ 500,00/Mês

Acesso a Gympass

Convênio Zenklub - Psicólogo / Nutricionista / Coaching/ Terapia

22 dias de suspensão de serviços remunerados sem que isso afete a sua contraprestação mensal depois de 1 ano de empresas

Parceria com curso de línguas "Time Load"

Parceria com clínica bridges
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Job Title: Analista de Dados e Produtividade Comercial (Porto Alegre/RS)
Company: Ambev
Location: Porto Alegre, Rio Grande do Sul, Brazil
Description:
Nossa gente aqui na Ambev sonha GRANDE! Somos milhares de apaixonados pelo que fazemos. Nosso maior objetivo é inovar no setor de bebidas com a maior qualidade e diversidade possível, para que você possa brindar qualquer ocasião escolhendo o que mais gosta!




A nossa Cultura é focada em construir um ambiente inclusivo e colaborativo, onde as pessoas possam ser o melhor delas mesmas! Gente é o nosso maior ativo, afinal sabemos que investir no potencial de nossos colaboradores é trazer ainda mais qualidade ao nosso negócio e às nossas bebidas. Por isso, estamos sempre em busca de talentos diversos, dispostos a construir esse grande sonho com a gente de unir as pessoas por um mundo melhor.




Prazer, somos a Ambev e adoraríamos te ter com a gente.




A rotina de um Analista de Dados e Produtividade Comercial do Auto Serviço consiste em:

Ser o(a) dono(a) da gestão da performance da conta das redes junto do Gerente de Negócios.
Atuar frente aos indicadores comerciais e de performance das redes.
Atuar na ponte com o time da logística.
Garantir a excelência nos resultados por meio da gestão.
Acompanhar o(a) Gerente de Negócios em reuniões de rede e rota semanalmente.




REQUISITOS E QUALIFICAÇÕES

Formação:

Ensino Superior Completo (ou no mínimo no penúltimo semestre).




Exigências:

- Informática (Pacote Office, principalmente Excel) - nível avançado;

- Power BI - nível intermediário (no mínimo).

- CNH B com menos de 8 pontos na carteira.




Competência desejável:

Habilidades de negociação.

Boa comunicação interpessoal.




Informações adicionais

Hoje na AMBEV nós trabalhamos com os melhores benefícios para você e também para os seus dependentes legais! Aqui na companhia nós conseguimos te proporcionar:




Mais cuidado com a sua saúde através de Plano Médico, Odontológico, Telemedicina, Seguro de Vida e Gympass;
Saúde mental com os aplicativos NAV Dasa e Gente 360;
Consumir nossos produtos com um super desconto (é isso mesmo, nós temos venda de produtos para funcionários no precinho!);
Reuniões de final de ano com a família ainda mais prazerosas, pois oferecemos Cesta de Natal e ainda brinquedo para quem tem filhos;
Proteção financeira com a nossa previdência privada;
A possibilidade de você fazer um bom mercado ou comer no restaurante que você gosta com Vale Alimentação ou Refeição, pois você poderá optar por um destes benefícios;
O vale transporte é opcional e você pode conferir no modelo da vaga;
Ter a oportunidade de receber um abono assiduidade, que nada mais é do que o 14º salário para nossos colaboradores, um salário extra no ano!;
Auxílio Creche ou Auxílio babá;
Participação dos Lucros da companhia.




Além de sonhar, se desenvolver, construir e crescer dentro de um ambiente meritocrático e inclusivo e ser capaz de fazer a diferença unindo as pessoas por um mundo melhor!

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Job Title: Data Analyst
Company: LTIMindtree
Location: India
Description:
Data Analyst

Experience: 12 to 15 Years

Location: Bangalore, Pune, Hyderabad, Chennai, Noida, Kolkata, Mumbai

Interview mode: 1st Virtual , L2 or HR round will be F2F

Mandatory Skills -

Data Analyst - Minimum 10 yr experience Required

Data profiling - Minimum 5 yr experience Required

SQL - Minimum 8 experience required

Data Quality tools ( IDMC OR Alteryx ) - Minimum 5 yr experience Required

JD

Primary Skills:

Strong proficiency in SQL

Data Profiling and Data Quality tools (e.g., IDMC, Alteryx)

Excellent communication and collaboration skills

Secondary Skills:

Experience with ADF, Snowflake, and Databricks

Knowledge of Spark and any ETL tools (SSIS, Informatica, etc.)

Power BI for data analysis and reporting

Domain knowledge in Claims and Insurance

Job Responsibilities:

Act as the primary point of contact for platform-related inquiries

Communicate platform updates and changes to relevant teams and stakeholders

Collaborate effectively with multiple stakeholders across teams

Facilitate coordination between development teams and other departments dependent on the platform

Work within Agile practices to ensure timely and efficient project delivery

Utilize data profiling and quality tools to ensure integrity and consistency of data

Good to Have:

Strong understanding of the Insurance domain and Claims processing

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Job Title: Data Scientist, Product Analytics
Company: Handshake
Location: San Francisco, CA
Description:
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
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Job Title: Data Scientist
Company: Take2 Consulting, LLC
Location: Springfield, VA
Description:
Overview


We are seeking a highly skilled Data Scientist to join our team in Springfield, VA. As a Data Scientist, you will be responsible for collecting and analyzing data, developing automated programs, and providing technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. If you have a strong background in data science, visual programming, and experience supporting the intelligence community, we encourage you to apply

.
Clearance Requirements: This position requires an active Top Secret/SCI security clearanc

e.
Responsibilit

ies
Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assi
gnedRefine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance c
ycleApply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Govern
mentEnhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualiza
tionConduct extensive collections and analytic modeling, data processing, data mining, and visualiza
tionConduct gap analysis on existing technologies and proce
ssesProvide communication to customers on the progress for projects, processes, and emerging technologies as they become avail
ableClearly communicate data-driven findings and automation to technical and non-technical audie
ncesDesign, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collec
tionConduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and techno
logyTrain and integrate new tools, processes, and capabilities to be used in collection orchestra
tionProvide support for emerging requirements as assigned by the Govern

ment
Require

ments
Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SA
S, NLPAbility to obtain CI Poly within 30 days of starting (no excep
tions)Willingness to sit on-site in Springfield, VA at
NGA HQExperience supporting the intelligence community (SIGINT, OCINT, GEOINT, HUMINT, etc) is highly des
irableFamiliarity with JEMA and Brewlytics is

a plus
Education And Exp

erience
Bachelor's degree in Computer Science, Statistics, Mathematics, or relat
ed field3+ years of experience in data science, visual programming, or relat
ed fieldExperience working with geospatial software applications and tools is highly d
esirable
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Job Title: Machine Learning Engineer
Company: Numero Data
Location: California, United States
Description:
NEED 9+ years of Experienced candidate and Local only to CA or AK

Top Skills' Details

Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, Pytorch, SQL, Big Data, GCP, Shell scripting.

Experience in scaling infrastructure to support high-throughput data-intensive applications using Scala/PySpark/GPU

Worked on integrating ML models with webservices using FastAPI or Flask.




Secondary Skills - Nice to Haves

scala
pyspark
gpu
fastapi
flask




Job Description

Machine Learning Engineer is responsible for building scalable end-to-end data science solutions.

Build ML and statistics driven models and continuous model monitoring workflows.

Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle.

Scale and deploy holistic machine learning solutions after successful prototyping.




Additional Skills & Qualifications

Have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects.

Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, Pytorch, SQL, Big Data, GCP, Shell scripting.

Experience in scaling infrastructure to support high-throughput data-intensive applications using Scala/PySpark/GPU

Worked on integrating ML models with webservices using FastAPI or Flask.




Business Drivers/Customer Impact

The key business challenge mentioned in the meeting is the need for ML engineering resources with experience in building ML pipelines, taking models to production, and working on batch and real-time API deployments.




Why is the position open(provide details)

Large retailer in need of ML engineers to assist in building ML pipelines and taking models to productions. Have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects. Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, Pytorch, SQL, Big Data, GCP, Shell scripting.

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Job Title: Python Developer
Company: Cititec
Location: Houston, TX
Description:
Python Developer (Junior/Mid) - Commodities Trading - Houston, TX (Hybrid) - up to $140k + 20-30% bonus & package




Cititec are working with a growing commodities trading firm who are looking for a motivated and technically strong Python Developer to join their power commodity trading team. This is a great opportunity for someone with foundational software development experience and a keen interest in financial markets and energy trading.




You will help build and maintain analytical tools, real-time data feeds, and trading support systems in collaboration with traders and analysts. This role offers exposure to a fast-paced trading environment and opportunities for technical and domain learning.




Key Responsibilities:

Assist in designing and developing applications that support power commodity traders and analysts.
Work on real-time data feeds for market data, pricing, and trading signals.
Collaborate with senior engineers, traders, and quantitative analysts to gather requirements and implement software solutions.
Contribute to building and optimizing data pipelines and API integrations.
Support the development of dashboards and visualization tools for analytics and market monitoring.
Participate in testing, maintenance, and performance tuning of existing systems.
Stay engaged with evolving technologies in software engineering and trading systems.




Required Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Strong with Python Development
You will have experience in a commodity trading environment, ideally with Power exposure
Familiarity with market data APIs or financial data tools.
Knowledge of energy markets or trading concepts is a plus but not required.
Experience with real-time systems, streaming data, or data visualization tools is a bonus.

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Job Title: Machine Learning Research Scientist
Company: Quantix Search
Location: Boston, MA
Description:
Machine Learning Research Scientist

Full-time | Boston or New York City (Hybrid)

$180,000–$210,000 + Equity




We're partnering with a VC backed biotech company using machine learning to solve complex problems in protein engineering and gene therapy. They've received $100M+ from highly prolific investors and combine deep expertise in biology, machine learning, and software engineering.

This is a hands-on research role focused on designing and implementing models that help optimize biological sequences for real-world therapeutic applications. You'll be part of a world-class ML team working closely with experimental biologists and computational scientists, using one of the most unique biological datasets available.




What You’ll Do:

Build and evaluate ML models to optimize protein and gene delivery
Analyze in-vivo biological data to uncover patterns and drive modeling improvements
Work cross-functionally with software engineers and biologists to integrate ML into core product pipelines
Write high-quality Python code and contribute to a modern ML stack (PyTorch, AlphaFold)




What We’re Looking For:

Experience building deep learning models for biological, sequence-based, or similar structured data
Strong Python and ML engineering skills (PyTorch preferred)
Interest in applying ML to high-impact problems in biotech
PhD or Master’s in Computer Science, Bioinformatics, or related field
Must be based in Boston or NYC and open to 1x/week in-office (hybrid)




This is an opportunity to join a team working on cutting-edge applications of AI in biology, tackling problems that have a direct path to real-world impact.

If this sounds like your kind of challenge, apply and we'll be in touch.

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Job Title: Data Scientist
Company: Invenia Group
Location: Waltham, MA
Description:
🔍 We're Hiring | Bioinformatics Data Scientist – Gene Editing & NGS




Are you passionate about using data science to shape the future of gene editing?

A growing life science company at the forefront of CRISPR-based technology is looking for a Bioinformatics Data Scientist to join their collaborative team. This is a high-impact role focused on developing and optimizing tools that assess off-target risks in gene editing, with a strong foundation in NGS analysis and data-driven tool development.




What You’ll Do:

Design and prototype NGS analysis pipelines for novel gene editing assays
Collaborate across R&D, software, and product teams to turn data into insights
Build and refine in-silico tools to reduce off-target effects of genome editing
Analyze large genomic datasets and translate findings into actionable outcomes
Support the development of tools used in research, clinical, and commercial settings




We’re Looking For Someone Who Has:

Strong experience with Python (R a plus) and bioinformatics tools like GATK, Samtools, etc.
Hands-on skills in analyzing NGS datasets
Experience working with regulatory standards e.g. GLP etc.
Exposure to CRISPR or gene editing technologies
Familiarity with workflow tools (e.g., Nextflow, Snakemake) and cloud platforms (e.g., AWS)
Ability to translate complex data into clear visualizations and scientific stories




Why Join?

Work on meaningful projects with real-world impact in genomics
Join a growing highly interdisciplinary team passionate about innovation
Competitive salary, equity, and benefits
Hybrid-friendly (2 days onsite), collaborative environment with career growth opportunities




📩 Interested or know someone who might be? Let’s chat — reach out directly to kdavis@inveniagroup.com or apply here

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Job Title: Data Scientist
Company: Tundra Technical Solutions
Location: New York, NY
Description:
I'm looking for a Data Scientist for an onsite contract role for Meta.

This is a 9 month contract opportunity.




Summary:

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.




Job Responsibilities:

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

• Generate and test hypotheses and analyze and interpret the results of product experiments.

• Create measurement frameworks and metrics to evaluate product success.

• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.




Skills:

• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.

• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.

• Experience working with large datasets.







The pay range that Tundra in good faith reasonably expects to pay for this position is 65/hour to 75 an hour.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta.

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