Tiger Analytics

Tiger Analytics is a company focused on leveraging advanced data analytics and technology solutions, particularly in the field of telematics.

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πŸ“ United States

πŸ” Advanced analytics consulting

  • 5+ years of experience working as a GenAI Data Scientist.
  • Experience with Python from a functional programming paradigm, including managing dependencies and virtual environments.
  • Proficient in version control with git.
  • Experience with sequential algorithms such as LSTM, RNN, transformers.
  • Familiar with Bedrock, JumpStart, HuggingFace.
  • Ability to evaluate ethical implications of AI and engage in red-teaming.
  • Expertise in supervised learning, unsupervised learning, deep learning, and transfer learning.
  • Experience in generative algorithms including GAN, VAE, and using pre-trained models like LLaMa, SAM.
  • Experience in developing models from inception to deployment.

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Experiment, evaluate, and create generative AI products for tasks such as data extraction and document summarization.
  • Use fine tuning and advanced knowledge retrieval methods to improve model performance.
  • Evaluate model performance and implement necessary improvements.
  • Collaborate with scientists, data engineers, and product owners.
  • Engineer features using business acumen to combine data sources.
  • Share Data Science knowledge with the enterprise community.
  • Collaborate, coach, and learn with a growing team of Data Scientists.
  • Stay connected with external ideas through conferences and community engagements.
Posted 2024-11-18
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πŸ“ Canada

πŸ” Advanced analytics and consulting

  • 5+ years of experience as a GenAI Data Scientist.
  • Expertise in Python, including managing dependencies and virtual environments.
  • Experience with sequential algorithms (LSTM, RNN, transformer, etc.).
  • Familiarity with Bedrock, JumpStart, HuggingFace.
  • Evaluation of ethical implications of AI technologies.
  • Proficiency in supervised, unsupervised, deep, and transfer learning.
  • Experience with generative algorithms (e.g., GAN, VAE) and pre-trained models (e.g., LLaMa, SAM).
  • Ability to develop models from inception to deployment.

  • Collaborate with business partners to develop innovative solutions using advanced techniques and tools.
  • Experiment and create generative AI products for various tasks.
  • Fine tune models and use advanced methods to enhance performance on specific tasks.
  • Evaluate models and implement necessary improvements.
  • Work with data engineers and product owners to develop AI products.
  • Engineer features by combining diverse data sources.
  • Engage with the broader enterprise community to develop processes and standards.
  • Collaborate and learn with a team of experienced Data Scientists.
Posted 2024-11-18
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πŸ“ United States, Canada

πŸ” Advanced analytics consulting

  • Bachelor’s degree in Computer Science or similar field.
  • 8+ years of experience in a Data Engineer role.
  • Experience with relational SQL and NoSQL databases like MySQL, Postgres.
  • Strong analytical skills and advanced SQL knowledge.
  • Development of ETL pipelines using Python & SQL.
  • Good experience with Customer Data Platforms (CDP).
  • Experience in SQL optimization and performance tuning.
  • Data modeling and building high-volume ETL pipelines.
  • Working experience with any cloud platform.
  • Experience with Google Tag Manager and Power BI is a plus.
  • Experience with object-oriented scripting languages: Python, Java, Scala, etc.
  • Experience extracting/querying/joining large data sets at scale.
  • Strong communication and organizational skills.

  • Designing, building, and maintaining scalable data pipelines on cloud infrastructure.
  • Working closely with cross-functional teams.
  • Supporting data analytics, machine learning, and business intelligence initiatives.
Posted 2024-11-15
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πŸ”₯ AWS DevOps Lead
Posted 2024-11-13

πŸ“ United States

πŸ” Management consulting

  • Experience with AWS DevOps for building and deploying applications.
  • In-depth knowledge of IaC technologies and tools, such as CloudFormation or Terraform, CI/CD, AWS CodePipeline and GitHub Actions.
  • Experience in AWS Cloud Engineering (AWS S3, IAM, EC2, Lambda, ECS, Docker).
  • Strong scripting and automation skills, using languages like Python.
  • Experience with a data engineering background and experience in Data Pipeline, ETL, SQL.

  • Evaluate, design, and implement AWS cloud solutions, ensuring high scalability, availability, and security.
  • Lead and coordinate DevOps activities, including continuous integration/continuous deployment (CI/CD) pipelines, infrastructure as code (IaC), and configuration management.
  • Collaborate with internal teams to identify and understand infrastructure requirements, and recommend innovative and cost-effective solutions.
  • Develop automation scripts and tools to streamline cloud deployments and management tasks.
  • Ensure adherence to cloud architecture and design principles, security policies, and regulatory requirements.
  • Monitor cloud infrastructure performance, identify and remediate issues, and recommend preventive actions.
  • Provide technical guidance, mentorship, and training to team members to enhance their AWS and DevOps skills.

AWSDockerPythonSQLETLData engineeringCI/CDDevOpsTerraform

Posted 2024-11-13
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πŸ“ United States

πŸ” Advanced analytics consulting

  • Bachelor's or Master's degree in Computer Science, Analytics, or a related field, or equivalent skills and experience.
  • 8-10 years of experience in developing, maintaining, and managing Tableau dashboards and analytics.
  • Strong understanding of SQL and relational database design and implementation.
  • In-depth knowledge of Tableau's capabilities, techniques, and standards for creating dashboards and reports.
  • CPG or Retail experience preferred.
  • Experience with large datasets, Databricks, and Snowflake.
  • Ability to understand the business impact of data and make recommendations.
  • Experience with data and analytics tools, ETL, reporting tools, data governance, data warehousing.
  • Consulting experience highly preferred.

  • Analyze business requirements and collaborate with stakeholders.
  • Communicate data architecture to development teams.
  • Create and develop advanced Tableau reports and dashboards that fulfill business needs.
  • Conduct detailed data analysis to translate business requirements into Tableau visualizations.
  • Design intuitive dashboards to enhance user experience and effectively communicate insights.
  • Collaborate with business stakeholders and other team members to deliver quality BI solutions.
  • Optimize Tableau workbooks and SQL queries for performance and efficiency.

SQLBusiness IntelligenceData AnalysisETLSnowflakeTableauData analysisCollaboration

Posted 2024-11-09
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πŸ“ India

πŸ” Advanced analytics consulting

  • 4-6 years of work experience in Human Resources.
  • Master’s degree in human resources, business administration, or a related field; or an equivalent combination of education and experience.
  • Willingness to work in US Time Zones.
  • Ability to work in a remote environment and with a globally distributed team.
  • Strong organizational, time management, and multitasking skills.
  • Proficiency in tracking and analyzing data using Excel and Google tools.
  • Effective navigation of different HR tools and platforms.
  • Project management skills required.
  • Pro-active, self-motivated with a positive attitude.
  • Ability to adapt to changing requirements and provide detailed, high-quality work.

  • Assist Human Resources team with onboarding and offboarding processes.
  • Support performance management and learning & development initiatives.
  • Contribute to diversity, equity & inclusion programs and competency mapping.
  • Oversee compensation management, global mobility, and employee engagement.
  • Maintain payroll administration and compliance with employee benefits.
  • Partner with HR team to improve HR policies and practices.

LeadershipProject ManagementData AnalysisPeople ManagementHR ManagementData analysisCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-11-07
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πŸ“ Canada

πŸ” Advanced analytics consulting

  • Bachelor's Degree in Computer Science or a similar technical field.
  • 10-12 years of experience, including around 5 years of project management with end-to-end delivery.
  • Relevant experience in program management and technology architecture.
  • Azure ADO experience is mandatory.
  • Strong understanding of program management concepts and methodologies.
  • Good to have a strong understanding of financial analytics.
  • Strong skills in executing projects using Agile methodology.

  • Manage the development and implementation of products and services.
  • Act as project manager from initiation through delivery, including planning and directing schedules.
  • Use agile methodologies and tools to create a product roadmap and manage the product backlog.
  • Oversee limited to moderate-scope projects, ensuring coordination of deliverables and assets.
  • Guide a diverse project team across application engineering, cloud, BI, and data engineering.

LeadershipProject ManagementAgilePeople ManagementAzureData engineeringOrganizational skills

Posted 2024-10-27
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πŸ“ United States

πŸ” Advanced Analytics Consulting

  • Bachelor’s degree in Computer Science or related field.
  • 8-10 years of experience in a Looker studio or related role delivering BI/Reporting projects in an enterprise or consulting role.
  • Strong ability to analyze complex datasets and extract actionable insights.
  • Expertise in Looker development, including LookML and dashboard creation.
  • Strong proficiency in SQL for querying and manipulating databases.
  • Familiarity with cloud platforms, such as Google Cloud Platform (GCP) or Azure.
  • Experience with data modeling techniques.
  • Knowledge of additional BI tools like Tableau or Power BI is a plus.
  • Excellent problem-solving skills for troubleshooting data-related issues.
  • Excellent communication skills.

  • Develop and manage LookML models, dashboards, and visualizations in Looker to deliver insightful analytics to stakeholders.
  • Collaborate with business users to gather requirements and translate them into technical specifications for reporting and data solutions.
  • Enhance existing reports and dashboards, focusing on performance optimization and user experience improvements.
  • Perform data analysis to uncover trends, patterns, and opportunities that can drive business improvements.
  • Work closely with data engineers to ensure data integrity and availability for reporting purposes.
  • Troubleshoot and resolve issues related to Looker dashboards and data sources as they arise.
  • Create documentation for reports, dashboards, and best practices to guide end-users in using Looker efficiently.
  • Stay current on Looker updates and related technologies, leveraging new features to enhance reporting capabilities.

SQLBusiness IntelligenceData AnalysisGCPTableauAzureData analysisData engineeringCommunication Skills

Posted 2024-10-25
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πŸ“ United States, Canada

🧭 Full-Time

πŸ” Advanced analytics consulting

  • Deep understanding of telematics data, including its structure, attributes, and relationships.
  • Excellent communication and consulting skills.
  • Preferred understanding of data engineering principles and practices, preferably with tools like Databricks.
  • Preferred proficiency in programming languages such as Python, SQL, or Scala.
  • Preferred familiarity with cloud-based data platforms such as AWS, Azure, GCP.

  • Evaluate incoming telematics data sets for trip calculation attributes and identify gaps or inconsistencies.
  • Provide guidance on interpreting telematics datasets, correlations, dependencies, and relationships.
  • Collaborate with data engineers to develop data cleaning and quality rules ensuring data consistency.
  • Assist in creating data models to identify and communicate insights from telematics data.

PythonSQLData engineering

Posted 2024-10-24
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