
501 - 1000 employees
Founded 2013
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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501 - 1000 employees
Founded 2013
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.
• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability • Build and implement statistical models and machine learning algorithms to generate insights and forecasts • Design and maintain Power BI dashboards to communicate insights to business leaders and stakeholders • Use Google Cloud Platform services to manage and optimize data pipelines and analytical solutions • Write and optimize SQL queries to extract, analyze, and transform large datasets • Collaborate with Engineering, Operations, and Business teams to align data science solutions with organizational objectives • Translate business challenges into practical data science approaches and deliver actionable recommendations • Stay current with relevant tools and methodologies in data science, cloud analytics, and data visualization
• Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is desired, or equivalent professional experience • Proven hands-on experience with Google Cloud Platform (GCP) services for data processing and analytics • Advanced Python skills for data manipulation, statistical modeling, and machine learning • Strong SQL skills for querying, data preparation, transformation, and optimization • Hands-on experience building and maintaining dashboards using Power BI • Experience developing statistical models and machine learning algorithms to generate insights and forecasts • Experience collecting, cleaning, and transforming data from multiple sources while ensuring data quality and reliability • Ability to translate business problems into analytical approaches and actionable recommendations • Strong analytical thinking, problem-solving skills, and attention to detail • Effective communication skills to explain complex findings to technical and non-technical stakeholders • Ability to collaborate effectively with multidisciplinary teams • Native Spanish proficiency • B2+ English proficiency, both written and spoken
• Remote work option • Full-time temporary employment opportunity from November 2 through December 31, 2026
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