At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth. We are seeking a conscientious, detail-oriented, and analytical professional to join our team. The role is primarily focused on data labeling and validating labels with other team members. The ideal candidate will have a passion for historical data and genealogy. You will be responsible for identifying patterns and connections, and providing insights that help individuals understand their family history. ✨ Responsibilities - Data Collection and Cleaning: Collect, clean, and process historical family records from various sources, ensuring data quality and accuracy via our in-house data extraction tool. - Pattern Recognition: Identify patterns, relationships, and anomalies in family records across multiple languages. - Historical Research: Collaborate with peers to validate data findings and enhance the understanding of family histories. - Collaboration: Work with cross-functional teams to integrate data findings. - Documentation and Data Validation. ✅ Requirements - Education: Bachelor’s degree and some experience in the data science field. - Experience: Entry to Mid-level professional looking to move into Data Labeling. - Analytical Skills: Excellent problem-solving skills and the ability to think critically and analytically. - Communication: Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical audiences. - Perseverance and attention to detail when working with difficult-to-read documents. - Ability to recognize patterns in historical documents. - Interest in learning to read multiple languages. - English language proficiency: minimum B2 level. 🌟 Benefits - 100% remote work from any LATAM country - Opportunity to work on international projects with multicultural teams - Culture that encourages professional development and continuous learning - Spaces for innovation, well-being, and career growth Ready to take your talent to the next level? At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨

This is a permanent role, and we’re a remote-friendly company. Candidates must be based in Malta or Bulgaria. About Us Ascent is now part of Acuity Analytics, marking an exciting new chapter with strong global reach, an impressive client base, and ambitious growth plans. Together, we deliver cutting-edge data and digital transformation solutions to high-growth and regulated organisations—combining talent, technology, and deep domain expertise to drive real business impact. About the Role We’re looking for a Senior Data Engineer to join a team supporting global claims reporting for a leading reinsurance organisation. You’ll work across Azure and Databricks, building reliable data pipelines and scalable solutions that power reporting and analytics across the business. What You’ll Be Doing - Build and manage Databricks Workflows to orchestrate large-scale data pipelines - Design and deliver ETL/ELT pipelines using best practices - Work with Delta Lake and Lakehouse architecture to structure data - Create and manage data assets using Unity Catalog - Develop data transformations using Python (PySpark) and SQL - Build and deploy PyFunc models into production pipelines - Use Azure services like Key Vault, Logic Apps, Service Bus, and APIM to support secure and scalable solutions - Set up and improve CI/CD pipelines with Azure DevOps - Work with stakeholders to turn business needs into practical, scalable data solutions What We’re Looking For - Strong experience with Azure Databricks (PySpark / Spark SQL) - Solid Python and SQL skills - Experience building data pipelines and data models - Good understanding of Delta Lake / Lakehouse architecture - Experience working with Azure DevOps and CI/CD - Comfortable working with large, complex datasets - Able to work with different teams and stakeholders Nice to Have - Experience in insurance, reinsurance, or claims reporting - Knowledge of NoSQL (e.g. Cosmos DB) - Familiarity with event-driven or microservices architecture - Experience with monitoring tools like Datadog or Application Insights - Exposure to Microsoft Cognitive Services How We Work - Agile, collaborative environment - Focus on ownership and quality - Supportive team that shares knowledge and ideas - Work that has real impact across the business Why Join Us People are at the heart of our business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about life at Ascent, check out our Life Page here. For more details about Acuity Analytics please see here: Read here.

The Data Science Engineer (GCP) will play a key role at Stacktics Inc., where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services. The ideal candidate will have hands-on experience in the end-to-end lifecycle of a data science project, from data ingestion and model development to production deployment and monitoring, using native GCP services. This role is for a highly technical practitioner who can transform research and prototypes into robust, scalable production systems. Key Responsibilities - Work with business stakeholders and data engineers to understand requirements, identify data sources, and develop solutions to complex and open-ended business problems. - Perform exploratory data analysis to identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights. - Design, develop, and deploy machine learning models and pipelines on GCP. - Utilize core GCP services such as BigQuery for data storage and analysis, Vertex AI for model training and deployment, and Dataflow or Cloud Composer for building ETL/ELT pipelines. - Implement and optimize Marketing Mix Modeling (MMM) solutions on Google Cloud Platform. - Participate in the creation of Statements of Work and other Prospecting activities that require technical expertise and inputs. - Monitor and troubleshoot model performance in production, ensuring system reliability and efficiency. - Apply advanced statistical and machine learning techniques to a wide range of business problems, including forecasting, classification, and clustering. - Communicate complex concepts and results to both technical and non-technical audiences. Company-Wide Responsibilities: - Maintain and exceed client satisfaction with Stacktics Inc.’ deliverables, day-to-day work and overall value as a partner - Cultivate opportunities for company growth, always seek areas where Stacktics Inc.’ role could be expanded - Adapt to ever-changing client needs and expectations - Maintain dedication toward achieving excellence in Stacktics Inc.’ delivery against client needs, and overall success as an organization. - Be an enthusiastic, positive and generally awesome team mate, mentor & constantly curious learner. - Stay up-to-date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools. Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Master's or Ph.D. is a plus. - 3+ years of professional experience in a data science or machine learning role and advanced analytical workflows built on the cloud, GCP preferred - Strong understanding of statistical analysis of data, including correlation analysis, outlier analysis and hypothesis testing - Strong understanding of data visualisation concepts, different types of visualisation charts and choosing the appropriate visualisations to convey insights effectively - 4+ years of experience building interactive dashboards using at least 1 data visualization tool such as Looker Studio, Tableau, or Power BI. - Proven hands-on experience with the Google Cloud Platform ecosystem. - Strong proficiency in Python and SQL. - Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Solid understanding of machine learning principles, algorithms, and best practices. - Familiarity with containerization technologies, particularly Docker. - Experience in hyperparameter tuning and evaluation of ML models - Strong understanding of Feature Selection and Feature Engineering concepts - Experience using ETL/orchestration/workflow management frameworks like Apache Airflow preferred, but not required - Strong understanding of and experience with large-scale OLAP databases and data warehouses. Strong understanding of Google Cloud BigQuery preferred - Understanding digital marketing ecosystems and tools, such as Google Marketing Platform, GA360, Google Ads, and Adobe Suite, is an essential strong asset - Technical understanding of a range of marketing concepts, such as cookie-based data collection, setting and leveraging audience segments, attribution modelling, A/B testing, knowledge of marketing KPIs and their calculation will be a strong asset. - Excellent written & verbal communication skills are essential; the candidate should be comfortable presenting and participating in group discussions of concepts with internal and external stakeholders. Preferred Qualifications - GCP certification (e.g., Professional Data Engineer, Professional Machine Learning Engineer). - Experience with GCP. - Experience in an MLOps-centric environment with knowledge of CI/CD and automation. - Familiarity with real-time data streaming and processing. - Experience with business intelligence tools like Looker or Tableau. - Strong problem-solving skills and a proactive, results-oriented attitude. WHAT’S IN IT FOR YOU? - Flexible Remote Working Policy (within Canada) - 100% employer-paid benefits package - Regular Lunch and Learns from your Team Mates - Standing desks - Fully-loaded kitchen: snacks/fruit/drinks - Awesome Employee Events and Activities - Participation in Community Engagement

The Opportunity: Be the Face of ELVTR for World-Class Leaders ELVTR is a premier online education platform that produces premium courses taught by the world's top business leaders. We are looking for a sophisticated, high-energy Interviewer to act as the first point of contact for these industry giants. Imagine a daily routine where you aren't just "interviewing candidates"—you are strategizing with VPs from Google, Directors from Netflix, and Executives from Spotify. Note: You will not be sourcing (scouring LinkedIn). We have a dedicated team of sourcers for that - they will schedule your Zoom calls for you. Your sole focus is screening, engaging, and closing high-level leads on the vision of becoming an ELVTR instructor. Working Hours The Schedule: This role operates on a schedule aligned with US business hours (EST/PST). Please only apply if you have a quiet, professional home office environment available during these hours. Who You Are - A "Peer" to Executives: You have the gravitas to hold your own in a conversation with a C-suite leader. You are polished, articulate, and confident. - A Hunter, Not a Gatherer: You have a "headhunter’s mindset." You understand that high-level talent needs to be courted, not just processed. - A Vision Seller: You aren't reading a script. You can articulate the ELVTR mission with such conviction that a busy executive pauses their day to listen to you. - Resilient & High-Energy: You will conduct multiple high-stakes video interviews a day. You maintain the same energy on your last call as you did on your first. Key Responsibilities - Conduct Executive Screening Calls: Lead video interviews with prospective instructors (sourced by our recruiting team) to evaluate their charisma, expertise, and teaching potential. - The "Pivot" to Sales: Assess the candidate quickly. If they are a match, instantly pivot from "interviewer" to "recruiter" to sell them on the vision of building a course with ELVTR. - Quality Control: You are the gatekeeper. You must politely decline senior leaders who don't meet our specific instructor standards while maintaining a positive brand image. - Pipeline Management: Move successful candidates to the Production phase, ensuring a seamless handoff to our Course Creators. - Strategic Feedback: Provide real-time feedback to the sourcing team to help them refine their search criteria based on your conversations.