Top Data & Analytics Jobs
The Lead Data Engineer at Hanna Andersson is responsible for designing, developing, and managing data warehouses, ETL processes, and data pipelines to drive reporting and business intelligence initiatives. They oversee the data engineering team, collaborate with technical teams and stakeholders, and ensure world-class standards of data integrity and system performance.
As a Lead Data Scientist, you'll oversee project execution, collaborate with teams, and design complex machine learning models. You will ensure the delivery of scalable data science solutions and mentor the team while aligning initiatives with business goals.
The Senior Data Scientist will establish a data-driven culture by defining key metrics and creating dashboards for cross-functional teams. They will embed in product, growth, and research teams to optimize growth strategies through experiments and data analysis.
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The Senior Computer Vision Scientist will develop predictive models using 3D data, utilizing machine learning and statistical modeling techniques. They will clean and prepare data for analysis, leverage cloud resources for data processing, and extract data from databases, while continuously iterating on solutions in a collaborative environment.
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
The Senior Revenue Insights Analyst will drive business growth through data analysis and reporting. Responsibilities include understanding the data needs of the Customer Success organization, creating actionable dashboards, managing projects, and influencing strategic decisions based on business modeling and insights.
As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.
The Data Operations Manager will oversee data operations for sales and sales development, ensuring the revenue engine's scalability. This role involves managing a team, analyzing sales data, and implementing operational improvements to enhance efficiency and performance in achieving sales targets.
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
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