{"id":13229,"date":"2025-11-05T19:51:50","date_gmt":"2025-11-05T19:51:50","guid":{"rendered":"https:\/\/kick-start.us\/?post_type=job_listing&#038;p=13229"},"modified":"2025-11-05T19:51:50","modified_gmt":"2025-11-05T19:51:50","slug":"pennsylvania-398-data-analyst-scientist-engineer-full-time","status":"publish","type":"job_listing","link":"https:\/\/kick-start.us\/pt-br\/vaga\/pennsylvania-398-data-analyst-scientist-engineer-full-time\/","title":{"rendered":"Analista de dados\/cientista\/engenheiro (tempo integral)"},"content":{"rendered":"<p>Descri\u00e7\u00e3o completa do trabalho<br \/>NOTICE:<\/p>\n<p>Webinar:<\/p>\n<p>We will host a webinar to answer questions about this opportunity:<\/p>\n<p>Thursday, November 13 \u00b7 2:00 \u2013 3:00 pm<\/p>\n<p>Time zone: America\/New_York (EST)<\/p>\n<p>Google Meet joining info:<\/p>\n<p>Video call link:<\/p>\n<p>Or dial: \u202a(US) +1 240-813-4745\u202c PIN: \u202a984 623 697\u202c#<\/p>\n<p>More phone numbers:<\/p>\n<p>About Kinertia:<\/p>\n<p>At Kinertia LLC, we&#8217;re driven by data to generate insights and guide decision-making. Our team thrives at the intersection of data science and business strategy, providing innovative solutions to complex challenges for our Fortune 100 clients. We utilize the latest and most diverse tech stack available. As data consultants, we prioritize collaboration, curiosity, and excellence, consistently delivering results.<\/p>\n<p>We&#8217;re also building an innovative digital aviation community app, connecting pilots much like Strava connects athletes. As the app nears launch, we&#8217;re refining data infrastructure, UI\/UX polish, performance and scalability. While the project is aviation-focused, the role offers the opportunity to work with diverse data, including geospatial data, AI-agent training data, and user engagement metrics. Join us for a unique opportunity to apply your skills across multiple domains.<\/p>\n<p>Vis\u00e3o geral:<\/p>\n<p>This is a\u00a0full-time position\u00a0designed for candidates who want to grow into a long-term role at Kinertia. The program offers comprehensive training in data science, with projects tailored to your background, skills, and interests. You\u2019ll work with clear expectations around scope, programming language, objectives, and timelines, while receiving ongoing mentorship and support from a dedicated supervisor or team member.<\/p>\n<p>In this position, you\u2019ll play a hands-on role in analyzing and processing large datasets that power key features of our app. From user behavior to geospatial analytics to system performance, you\u2019ll gain exposure to diverse data and cutting-edge tools\u2014making direct contributions to the product and user experience.<\/p>\n<p>We also hire interns. Our past interns have not only gained valuable experience but also achieved remarkable career success. Over half have continued their journey with Kinertia, while others have secured core positions at top 50 high-tech companies. Let us know if an internship would interest you.<\/p>\n<p>Responsabilidades:<\/p>\n<ul>\n<li>Report to a technology team member, collaborate with staff to meet project requirements, and take ownership of your learning and project development, seeking mentorship and guidance as needed to solve challenges<\/li>\n<li>Collaborate with product and engineering teams to define and analyze data metrics that influence product decisions<\/li>\n<li>Process and clean large datasets, identifying trends and patterns to inform business and development strategies<\/li>\n<li>Work with geospatial data and support data pipelines to enhance app performance and user experience<\/li>\n<li>Use Google Cloud Storage, BigQuery, and Airflow for scalable data solutions and efficient processing<\/li>\n<li>Develop and maintain data models and dashboards to provide insights into user engagement and behavior<\/li>\n<li>Perform statistical analyses, including segmentation, clustering, and predictive modeling, to generate actionable insights<\/li>\n<\/ul>\n<p>Qualifica\u00e7\u00f5es<\/p>\n<ul>\n<li>Master\u2019s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, Information Technology, or a related field<\/li>\n<li>Strong background in statistical models, data science, and quantitative analyses<\/li>\n<li>Familiarity with data pipeline architecture and automation (e.g., Apache Airflow)<\/li>\n<li>Strong proficiency in Python and data analysis libraries (Pandas, NumPy, etc.)<\/li>\n<li>Strong proficiency in SQL and database management systems<\/li>\n<li>Experience with version control systems like GitHub<\/li>\n<li>Familiarity with cloud-based data processing platforms like Google Cloud, BigQuery, or similar technologies<\/li>\n<li>Exposure to machine learning concepts, particularly in supervised and unsupervised learning<\/li>\n<li>Knowledge of geospatial data analysis or interest in learning about it (e.g., PostGIS)<\/li>\n<li>Experience with data visualization tools<\/li>\n<li>Strong problem-solving and analytical skills<\/li>\n<li>Excellent communication (strong command of English) and teamwork skills<\/li>\n<li>Results-driven, ability to explain projects to both internal and external stakeholders<\/li>\n<\/ul>\n<p>Requisitos:<\/p>\n<ul>\n<li>Recent master&#8217;s graduates or master\u2019s students graduating in December 2025 or May 2026<\/li>\n<li>Able to work 30 hours\/week for full-time, at least 2 full days in the office<\/li>\n<li>Hybrid position: work from home and in our offices at Bakery Square, Pittsburgh, PA<\/li>\n<li>Willingness to relocate to Pittsburgh, PA when applicable<\/li>\n<\/ul>\n<p>Benefits (full-time only, 30+ hrs\/week):<\/p>\n<ul>\n<li>Strong benefits package including medical, dental, vision, long-term disability, a matching 401(k) retirement plan, and generous paid time off<\/li>\n<li>Great work-life balance, flexible work schedule<\/li>\n<li>Opportunity to work on cutting-edge data projects for industry-leading clients<\/li>\n<li>H-1B visa sponsorship available for international F1 students (USCIS dependent)<\/li>\n<\/ul>\n<p>Como se inscrever:<\/p>\n<p>Interested candidates\u00a0must\u00a0submit their application, including a resume, to:<\/p>\n<p>Tipo de emprego: Tempo integral<\/p>\n<p>Pay: $70,000.00 &#8211; $90,000.00 per year<\/p>\n<p>Benef\u00edcios:<\/p>\n<ul>\n<li>Professional development assistance<\/li>\n<li>Patroc\u00ednio de visto<\/li>\n<li>Trabalhar em casa<\/li>\n<\/ul>\n<p>Idioma:<\/p>\n<ul>\n<li>English (Required)<\/li>\n<\/ul>\n<p>Work Location: Hybrid remote in Pittsburgh, PA 15206<\/p>","protected":false},"author":10,"featured_media":0,"template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"pmpro_default_level":"","_promoted":"","_job_location":"Pennsylvania","_application":"https:\/\/www.indeed.com\/viewjob?jk=7136223ccfe1115a&from=mobRdr&utm_source=%2Fm%2F&utm_medium=redir&utm_campaign=dt","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":"","_joinchat":[]},"job-types":[398],"class_list":{"0":"post-13229","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"pmpro-has-access","7":"job-type-h1-b"},"_links":{"self":[{"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/job-listings\/13229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/users\/10"}],"wp:attachment":[{"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/media?parent=13229"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/kick-start.us\/pt-br\/wp-json\/wp\/v2\/job-types?post=13229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}