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2,023 jobs found.

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🔥 Applied Scientist, Adtech

Posted 21 minutes ago

📍 Finland, Sweden, Germany

🧭 Full-Time

💸 375000.0 USD per year

🔍 Adtech

🏢 Company: Wolt - English

🔧 Requirements

Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.
Expertise in Production-Level ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.
Strong Foundations in ML and Statistics: You bring a solid educational background and practical skills in machine learning and statistics, enabling you to design reliable and meaningful solutions. Working experience with optimization is a big plus.
Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.
Clear Communication and Drive: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs. You can take ownership of initiatives and drive projects to conclusion while working with varied stakeholders.
Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.

💡 Responsibilities

Design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges.
Enhance key processes across Wolt's platform and business operations, creating measurable impact in all 29 countries where we operate.
Take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production.

Python SQL Data Analysis Machine Learning MLFlow Algorithms Data science Analytical Skills Data visualization

Posted 21 minutes ago

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🔥 Recruiter and Talent Sourcer (6 month contract)

Posted 41 minutes ago

📍 United States

🧭 Contract

💸 35.0 - 50.0 USD per hour

🏢 Company: SecurityScorecard👥 251-500💰 $180,000,000 Series E about 4 years agoSecurity Risk Management Cyber Security Software

🔧 Requirements

Advanced proficient with Greenhouse recruiting
Advanced proficient with LinkedIn Recruiter (sourcing, InMail automation and Job post optimization)
Advanced proficient with some form of recruiting CRM tool such as Gem, SourceWhale, etc.
Skilled behavioral interviewer
Data driven
Move fast

💡 Responsibilities

Partner with hiring managers and rapidly generate talent pipelines across all levels of roles
Own and run searches, generate talent pipelines and close searches in addition to scheduling and coordinating depending on demand and team capacity.

Data Analysis Behavioral economics Communication Skills Microsoft Excel Time Management Multitasking Adaptability MS Office Teamwork Active listening Recruitment Data entry Data visualization CRM

Posted 41 minutes ago

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🔥 Client Account Manager

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 55000.0 - 106000.0 USD per year

🏢 Company: TrustEngine👥 101-250💰 Private about 3 years agoCRM Artificial Intelligence (AI)Business Intelligence Industrial Automation SaaS Software

🔧 Requirements

Proven ability to build and maintain strong, long-term relationships with key client stakeholders.
Experience leading and developing onboarding.
Executing and contributing to playbooks.
Demonstrated experience in driving revenue growth through upselling, cross-selling, and renewals.
Ability to develop and execute strategic account plans to maximize customer lifetime value.
Strong commitment to ensuring customer satisfaction and achieving desired outcomes.
Proficiency in analyzing customer data and providing data-driven recommendations.
Ability to quickly learn and effectively communicate the value of TrustEngine solutions.
Excellent communication and collaboration skills to work effectively with internal teams.

💡 Responsibilities

Build and maintain strong relationships with key stakeholders and decision-makers, serving as a trusted advisor starting from onboarding to ensure customers achieve their desired outcomes using TrustEngine solutions.
Develop and execute strategic account plans to maximize revenue and customer lifetime value through upselling, cross-selling, and identifying new opportunities for expansion.
Conduct regular business reviews to assess customer health satisfaction and proactively uncover expansion opportunities.
Achieve assigned revenue targets by proactively identifying and pursuing upselling, cross-selling, and renewal opportunities.
Proactively monitor customer health, identify potential risks, and develop mitigation strategies to ensure continued success and accurately forecast revenue performance.
Provide ongoing support and guidance to customers, ensuring they have the resources and knowledge to fully utilize and succeed with TrustEngine solutions.
Analyze customer data to understand product usage, identify areas for improvement, and drive adoption of Trust engine products by LOs.
Develop and present data-driven recommendations to optimize customers' business processes and maximize the value they derive from TrustEngine solutions.
Collaborate effectively with internal teams (Marketing, Sales, Product, and Support) to convey customer needs and achieve revenue and growth goals.

Data Analysis Customer service RESTful APIs Relationship building Account Management Client relationship management Data visualization Strategic thinking CRM Customer Success SaaS

Posted about 1 hour ago

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🔥 Analytics Engineer II

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🏢 Company: Spark Advisors👥 11-50💰 $25,000,000 Series B about 1 year agoFinancial Services Retirement Employee Benefits

🔧 Requirements

4+ years of experience in data or analytics engineering.
Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines
Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI)
Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data
Proven ability to automate data workflows using modern tools
Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency
Strong communication skills for working cross-functionally with various teams

💡 Responsibilities

Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

Python SQL Data Analysis ETL GCP Data engineering Data visualization Data modeling

Posted about 1 hour ago

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🔥 Analytics Engineer Intern (ASO)

Posted about 1 hour ago

📍 United States of America

🧭 Internship

🔍 Healthcare

🏢 Company: healthcatalystcareers

🔧 Requirements

Experience and comfort writing SQL code.
Leverage HC software and technologies to perform varied analyses in support of client outcomes improvement initiatives across clinical, operational and financial domains.
Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
Ensure assigned projects are executed efficiently and according to project requirements and timelines.
Perform detailed data profiling and validation tests to ensure quality of measurement.
Understanding of Extract, Transform, and Load (ETL) processes.
Ability to communicate with and deliver analytics to technical, non-technical, and key stakeholders.
Experience developing visualizations (using Qlik, PowerBI, and/or Tableau) that consume data models for non-technical users.
Effective written and verbal communication, and presentation skills.
Desire and capability to learn new technologies (Databricks, Snowflake, etc.).

💡 Responsibilities

Work with your team to accomplish your assigned tasks and deliver value.
Effectively and regularly communicate status, issues, and progress of assigned tasks; Ask questions.
Gain an understanding of Health Catalyst culture, products, and methodologies; Grow your technical skills through practical application.
Identify improvement opportunities within the scope of assigned work.
Learn formal methods for process improvement and apply them to solve problems.

SQL Data Analysis ETL Communication Skills Data visualization Data modeling

Posted about 1 hour ago

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🔥 Digital Growth Marketing Manager - Urgently Hiring

Posted about 1 hour ago

📍 United States

💸 90000.0 - 130000.0 USD per year

🏢 Company: LawnStarter👥 101-250💰 $10,500,000 over 5 years agoInternet Marketplace Outdoors Landscaping

🔧 Requirements

Experience with optimizing lead conversion through effective management of lead partners, marketing automation platforms, and customer communications.
Experience with Multi-Channel Acquisition
Proficiency in data tools like Excel and SQL is a must.

💡 Responsibilities

Manage lead acquisition efforts across various digital platforms
Guide partner success team to deliver excellent service
Manage and monitor ratings and review platforms
Manage posting activities across various channels to support pro acquisition
Utilize tools and technologies like Retool and Zapier to streamline operational workflows
Develop and enhance the referral program to increase customer acquisition
Work closely with product, sales, engineering, and customer service teams to align channel strategies
Constantly evaluate and test new acquisition channels

SQL Data Analysis Google Analytics SEO Data visualization Marketing Lead Generation Digital Marketing Process improvement CRM Data analytics Customer Success A/B testing

Posted about 1 hour ago

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🔥 Data Scientist

Posted about 1 hour ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Bhblasted

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
Understanding of data engineering practices and data architecture.
Familiarity with version control systems (e.g., Git).
Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying.
Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries).
Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing).
Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure).
Proficiency in English (both written and spoken).

💡 Responsibilities

Collect, clean, and preprocess large datasets from multiple sources (databases, APIs, web scraping, sensors, etc.).
Identify and correct data inconsistencies, handle missing values, and ensure data quality.
Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques.
Tune model parameters to maximize accuracy and efficiency.
Identify and create meaningful features to improve model performance.
Translate data findings into actionable business recommendations.
Create detailed reports and presentations to communicate results to stakeholders.
Build interactive dashboards or visualizations for real-time data interpretation.
Implement ML models into production systems.
Create scalable data pipelines and automate processes for continuous data analysis.
Work with developers to integrate insights and models into business applications.
Ensure compliance with data privacy laws and ethical guidelines (e.g., GDPR, CCPA).
Maintain detailed documentation of methodologies, datasets, and workflows.
Protect sensitive data and ensure secure handling.
Work closely with business analysts, engineers, domain experts, and leadership teams.
Understand business needs and translate them into analytical tasks.
Simplify technical results for non-technical stakeholders.

AWS Docker Python SQL Cloud Computing Data Analysis Data Mining ETL GCP Git Hadoop Java Kafka Machine Learning Numpy Jira Tableau Algorithms Data engineering Data science Pandas Spark Communication Skills Analytical Skills RESTful APIs Scala Data visualization Data modeling

Posted about 1 hour ago

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🔥 Data Lead

Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital

🏢 Company: Bhblasted

🔧 Requirements

Degree in Computer Science, Statistics, Engineering, or a related field.
At least 5-7 years of experience in data management and analysis, with at least 2-3 years in a leadership role.
In-depth knowledge of programming languages for data analysis (e.g., Python, R, SQL).
Familiarity with BI tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
Experience in creating predictive models and applying machine learning techniques.
Leadership skills, team management capabilities, and experience handling complex projects.
Excellent communication and collaboration skills.
Strong results orientation and problem-solving abilities.

💡 Responsibilities

Define and implement the company's strategy for data management and analysis.
Coordinate and supervise a team of data analysts and specialists to ensure the quality and integrity of company data.
Collaborate with key business stakeholders to understand business needs and translate them into data projects and solutions.
Monitor the performance of data management processes and identify opportunities for improvement.
Develop and maintain a reporting system and dashboards to enable data visualization and interpretation.
Ensure compliance with data protection regulations and company policies.
Research and implement new technologies and tools for data management.
Provide support in the creation and implementation of machine learning models or artificial intelligence projects for business applications.
Promote a data-driven culture within the organization.

Leadership Python SQL Apache Airflow Artificial Intelligence Data Analysis ETL Hadoop Machine Learning Tableau Spark Reporting Data visualization Team management Data modeling Data management

Posted about 1 hour ago

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🔥 Amazon Brand Catalog Manager

Posted about 2 hours ago

📍 Sydney, Australia, Remote

🧭 Full-Time

💸 9.0 - 12.0 USD per hour

🔍 E-commerce

🏢 Company: AUS SOURCER INTERNATIONAL PTY LTD

🔧 Requirements

3-5 years of relevant experience managing teams
Experience with 7-figure Seller Central accounts
Knowledge of Amazon reporting and third-party software (e.g., Helium10)
Working knowledge of Microsoft Excel / Google Sheets (bonus)

💡 Responsibilities

Spot and address issues on Amazon listings.
Manage the launch process with creative contractors.
Optimize listings to improve CTR and CVR.
Modify and sync the product catalog across Faire, Shopify, and Etsy.
Conduct keyword and competitor research.
Ensure third-party software is used effectively.
Implement new strategies.
Communicate effectively with the Founder.

Project Management Amazon FBA Amazon RDS Business Intelligence Data Analysis Excel VBA Salesforce Shopify Product Operations Cross-functional Team Leadership Operations Management Product Development Amazon Web Services API testing Communication Skills Analytical Skills Microsoft Excel Customer service SEO Agile methodologies RESTful APIs Attention to detail Organizational skills Time Management Microsoft Office Suite Excellent communication skills Problem-solving skills Reporting Writing Strong work ethic Client relationship management Strong communication skills Market Research Data visualization Team management Strategic thinking Digital Marketing Financial analysis Customer Success English communication A/B testing

Posted about 2 hours ago

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🔥 Manager, Marketing Analytics - (Remote - US)

Posted about 2 hours ago

📍 United States

💸 120000.0 - 135000.0 USD per year

🔍 ECommerce

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

5+ years of experience in analytics or customer insights within an eCommerce environment.
Strong proficiency in SQL, with the ability to optimize complex queries and work with large datasets.
Experience in statistical analysis, A/B testing methodologies, and translating data into strategic recommendations.
Excellent communication skills to explain complex concepts to both technical and non-technical stakeholders.
Ability to collaborate effectively in a team environment and manage multiple priorities.

💡 Responsibilities

Analyze and interpret customer data using SQL and other tools, providing actionable insights to drive business performance.
Develop and refine customer segmentation models to inform marketing strategies and improve customer retention.
Track and report on key customer metrics, such as churn, retention rate, and lifetime value.
Collaborate with cross-functional teams, including Customer Engagement and BI, to measure the effectiveness of campaigns and refine strategies.
Design and implement A/B tests to assess the impact of marketing and product initiatives.
Work with Data Engineering to deploy scalable, production-ready analytics solutions and ensure data accuracy and consistency.

SQL Data Analysis Communication Skills Analytical Skills Collaboration Agile methodologies Data visualization Data modeling Data analytics A/B testing

Posted about 2 hours ago

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Shown 10 out of 2023

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