EEmovel logo
EEmovel

Mudar o jeito de fazer negócios no mercado imobiliário

Data Acquisition Lead

Location

Brazil

Posted

1 day ago

Salary

0

Seniority

Senior

Job Description

Data Acquisition Lead

EEmovel

• Stay up-to-date with best practices and technologies related to data acquisition and web scraping. • Generate data analyses based on captured data or data provided in databases. • Process captured data and make it available for consumption in development and production data stores. • Assist in maintaining and continuously improving data normalization and delivery pipelines. • Perform performance analyses regarding the data being captured and/or made available. • Develop Python scripts to perform web scraping of specific websites as requested by commercial or business teams. • Review the production queue to identify the next site to be mapped, create the corresponding script, test it in the development environment, and validate the collected data. • Collaborate with other areas of the company to understand data needs and ensure acquired datasets meet established requirements. • Validate acquired data to ensure quality and consistency, correcting any errors or inconsistencies identified. • Connect to AWS servers to perform data captures. • Drive continuous improvement of data acquisition processes to increase efficiency and data quality. • Receive and distribute acquisition requests among the team. • Create reports on the progress of requests handled by the acquisition team. • Assist in the development of the acquisition team. • Conduct training for members of the acquisition team.

Job Requirements

  • Basic knowledge of Linux.
  • Familiarity with NoSQL databases, especially MongoDB.
  • Strong data analysis skills and programming logic.
  • Knowledge of Git for code versioning.

Related Categories

Related Job Pages

More Data Scientist Jobs

Audiohook logo

Data Scientist

Audiohook

Performance-driven audio advertising platform

Data Scientist2 days ago
Full TimeRemoteTeam 11-50H1B No Sponsor

• Own the measurement science behind Audiohook's performance audio advertising platform • Design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers • Collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn't just statistically sound but operationally useful • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions • Develop and validate predictive models that improve campaign performance and platform efficiency • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats • Communicate clearly and proactively in a remote-first environment

United States
$120K - $170K / year
Capgemini logo

Data Scientist, Marketing

Capgemini

Get the Future You Want

Data Scientist2 days ago
Full TimeRemoteTeam 10,001+Since 1967H1B Sponsor

• This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms • Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms • Implement real-time and batch data ingestion strategies • Manage customer event tracking and identity resolution within Segment • Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers • Ensure data integrity and feedback loops from Braze back into Snowflake via Segment • Automate data transformations and enrichment using scripting languages • Monitor system performance and troubleshoot integration issues across platforms

Mexico
Full TimeRemoteTeam 51-200Since 2013H1B No Sponsor

Role Description We are seeking a collaborative, detail-oriented, and scientifically driven Clinical Data Manager to support the planning, execution, and oversight of clinical data management activities across our gene therapy clinical development programs. Reporting to the Senior Director of Clinical Data Management, this individual will partner cross-functionally with Clinical Operations, Biostatistics, Medical Monitoring, Regulatory Affairs, Pharmacovigilance, Quality, and external CROs/vendors to ensure delivery of high-quality, reliable, and inspection-ready clinical trial data. The Clinical Data Manager will oversee data management activities across one or more clinical studies or workstreams, supporting study startup, database development, data cleaning, reconciliation, reporting, database lock, and regulatory submission readiness activities. The Clinical Data Manager will ensure the accuracy, consistency, completeness, and high quality of the clinical data. The ideal candidate is a proactive problem solver who thrives in a fast-paced biotech environment and is passionate about supporting transformative therapies for patients with serious diseases. Responsibilities - Serve as the Clinical Data Manager for assigned studies and/or lead specific, specialized data management workstreams (e.g., manual data review, external vendor data management) across multiple studies within a clinical program. - Participate in protocol and amendment reviews of assigned studies or program workstreams to ensure optimal CRF design and cross-study data standardization. - Partner with Clinical and Biometrics to develop or contribute to comprehensive Data Management Plans and Data Review Plans, covering all aspects of data collection, processing, reconciliation, review, and archival for the assigned scope. - Lead or support the design and build of the clinical databases and review tools to ensure they support clinical study objectives. - Responsible for user acceptance testing (UAT) within assigned study scopes or workstreams, including authoring and/or executing scripts. - Oversee or execute assigned aspects of data collection and review, which may include: monitoring data flow, performing discrepancy management, leading and participating in data review or reconciliation activities, and planning/facilitating database lock. - Manage timelines for assigned CDM activities to support corporate and clinical program objectives. - Ensure complete, accurate and inspection-ready CDM documentation within the assigned scope. - Act as team SME for key data systems and data streams, and process enhancement efforts. - Contribute to program deliverable timeline creation. - Perform additional duties as assigned. Qualifications - BS/BA and/or MS degree Bachelor’s degree or equivalent combination of education/experience in science or health-related field with 4 years of direct data management experience (Rare disease experience highly desirable). - Strong knowledge of CDM processes, EDC systems (Medrio and Medidata RAVE preferably), database programming, and quality management. - Understanding of the MedDRA and WHODRUG coding processes. - Knowledgeable in GCP standards, CDISC standards (CDASH, SDTM, ADaM), FDA and ICH guidelines, and recommended CDM Best Practices. - Outstanding problem-solving abilities and influencing/negotiation skills. - Excellent interpersonal, communication, and leadership skills. - Logical thinking, attention to detail and accuracy, good organizational skills, and problem-solving abilities. - Ability to prioritize and adapt quickly to changing business conditions with a positive attitude. - Willing to travel if required. Preferred Qualifications - Experience supporting gene therapy, rare disease, neurology, or cell therapy clinical programs. - Experience with electronic patient reported outcomes. - Experience with the review, reconciliation, and cleaning of neurodevelopmental, behavior, and motor assessments. - Experience operating with in-house data management as well as managing outsourced CRO/vendor data management models. - Familiarity with biomarker, genomic, imaging, longitudinal, or complex external datasets common within gene therapy development. - Experience supporting global clinical studies, regulatory inspections, and submission activities preferred. - Experience in an emerging biotechnology or growth-stage company environment preferred. - Knowledge of CDISC SDTM/ADaM principles and clinical data standards preferred. Benefits - Comprehensive benefits package, including competitive employer premium contributions. - Meaningful stock option grants. - PTO, sick time, and holiday pay. - Generous Parental Leave program. - Pre-tax medical and dependent care programs. - STD, LTD, Life and AD&D. - Professional development opportunities. - Team-building events. - Fully stocked kitchen. - Fitness center. - Employees (and their families) may obtain medical, dental, vision and basic life insurance benefits through the company and enroll in our company's 401k plan. - Employees will also accrue vacation time off and paid sick time off and may become eligible for paid parental leave. - Employees will also enjoy designated paid holidays throughout the calendar year.

United States
Capgemini logo

FBS Data Scientist

Capgemini

Get the Future You Want

Data Scientist2 days ago
Full TimeRemoteTeam 10,001+Since 1967H1B Sponsor

Role Description This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms. - Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms. - Implement real-time and batch data ingestion strategies. - Manage customer event tracking and identity resolution within Segment. - Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers. - Ensure data integrity and feedback loops from Braze back into Snowflake via Segment. - Automate data transformations and enrichment using scripting languages. - Monitor system performance and troubleshoot integration issues across platforms. Qualifications - 3+ years of experience working with Python and SQL. - Experience performing data modeling and ETL processes. - Data Orchestration Platforms. - Customer Data Schema Design - Entry Level. - Knowledge in API Integrations and Webhooks. - 2+ years of experience in Segment CDP. - Hands-on experience working with Snowflake. - Experience working in a Marketing environment. Requirements - Braze experience or any other marketing tool (Nice to Have). Benefits - Competitive salary and performance-based bonuses. - Comprehensive benefits package. - Career development and training opportunities. - Dynamic and inclusive work culture within a globally renowned group. - Private Health and Dental Insurance. - Pension Plan. - Meals tickets. - Life Insurance.

Brazil