Tiger Analytics

👥 1001-5000 Advertising Consulting Big Data News Machine Learning Analytics💼 Private Company

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

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Jobs at this company:

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🔥 Principal Data Scientist

Posted 21 days ago

📍 Mexico

🔍 Retail & CPG

🔧 Requirements

Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field.
8+ years of experience in data science, analytics, or a related field, with a strong focus on machine learning.
Extensive experience with key programming languages such as Python and R, as well as data manipulation and visualization libraries.
Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred.
Solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis.
Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions.
Excellent written and verbal communication skills, with the ability to convey complex information clearly.
Demonstrated ability to lead projects and work collaboratively within a team environment.
Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI).

💡 Responsibilities

Lead statistical analysis and machine learning projects from conception through deployment, ensuring alignment with business objectives.
Develop models and analyses tailored to client needs and make actionable recommendations based on results.
Articulate and present complex data findings in a clear and accessible manner to both technical and non-technical stakeholders.
Collaborate with cross-functional teams to leverage data insights and foster a data-driven culture.
Mentor junior data scientists and provide leadership on best practices in data science methodologies.
Stay updated on industry trends and emerging technologies in data science to drive innovation and enhance service offerings.
Manage multiple projects and teams, ensuring timely delivery of high-quality results.

Posted 21 days ago

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🔥 Recruiter / Senior Recruiter (Spain Hiring)

Posted 22 days ago

📍 India

🔍 Consulting

🔧 Requirements

4+ years of in-house or consulting recruitment experience in supporting diverse business needs
Experienced in hiring data analytics-related roles such as - Data Analyst, Data Scientist, Machine Learning Engineer, BI Developer, Data Engineer, and Cloud platform roles
Extensively use tools like LinkedIn, ATS, referrals, job boards, etc. to develop a robust pipeline of candidates.
Able to adapt effective recruitment strategies to attract top talent in a competitive market
Experience in maintaining accurate and organized records of candidate information and recruitment activities in ATS
Must have prior experience in US hiring
Ability to collaborate with a remote team and work across different time zones.
Knowledge of local employment laws and regulations.
Strong communication and interpersonal skills.

💡 Responsibilities

Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding.
Identify and attract top talent through various channels, including job boards, social media, and professional networks.
Build and maintain strong relationships with candidates throughout the recruitment process.
Provide a positive candidate experience and act as the main point of contact for candidates.
Partner with hiring managers to understand staffing needs and develop effective recruitment strategies.
Conduct regular meetings with hiring managers to review open positions and discuss candidate profiles.
Create compelling job descriptions and post them on relevant job boards and platforms.
Develop creative recruitment advertisements to attract a diverse pool of candidates.
Conduct thorough interviews to assess candidates' skills, qualifications, and cultural fit.
Evaluate candidate resumes and profiles to ensure alignment with job requirements.
Maintain accurate and up-to-date candidate information in the Applicant Tracking System (ATS).
Generate recruitment reports and metrics for analysis and improvement.

Posted 22 days ago

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🔥 ML Ops Architect

Posted 29 days ago

📍 United States

🔍 Software Development

🔧 Requirements

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
7+ years of hands-on work experience developing and applying advanced analytics solutions.
At least 4 years of experience programming with Python.
At least 3 years of experience designing and building data-intensive solutions using distributed computing.
At least 3 years of experience productionizing, monitoring, and maintaining models
Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc.
Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform.
Experience in developing and maintaining APIs (e.g.: REST).
Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform).
Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow).
Expertise in Unix Shell scripting and dependency-driven job schedulers.
Understanding of security and compliance requirements in ML infrastructure.
Experience with visualization technologies (e.g.: RShiny, Streamlit, Python DASH, Tableau, PowerBI).
Familiarity with data privacy standards, methodologies, and best practices.

💡 Responsibilities

Implement scalable and reliable systems leveraging cloud-based architectures, technologies and platforms to handle model inference at scale.
Deploy and manage machine learning & data pipelines in production environments.
Work on containerization and orchestration solutions for model deployment.
Participate in fast iteration cycles, adapting to evolving project requirements.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Leverage CICD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment.
Manage and monitor machine learning infrastructure, ensuring high availability and performance.
Implement robust monitoring and logging solutions for tracking model performance and system health.
Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance.
Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner.
Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations.
Collaborate with platform engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization.
Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices.

Posted 29 days ago

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🔥 Sr. Consultant/Manager - Credit Risk Strategy

Posted about 1 month ago

📍 United States, Canada

🔍 Financial Services

🔧 Requirements

Minimum of 5 years of experience in credit risk management, focusing on loss forecasting in the financial services industry.
Strong understanding of loss modeling techniques, including vintage analysis, PD, LGD, roll rate models, and macroeconomic drivers.
Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
Experience with model validation and regulatory compliance related to credit risk forecasting.
Exceptional analytical and problem-solving skills, with a strong attention to detail.
Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application

💡 Responsibilities

Design, develop, and validate models for loss forecasting that align with regulatory requirements and internal business needs.
Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Posted about 1 month ago

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🔥 Manager/Senior Manager - Behavioral Science

Posted about 1 month ago

📍 United States

🔍 Advanced Analytics Consulting

🔧 Requirements

8+ years of experience working on Behavioral Science projects
A clear understanding of Behavioral Science principles and their real-world application
Demonstrated experience in applying Behavioral Science to solve real-world challenges in a business context
Ideally a Masters’ degree in relevant field (Behavioral Science, Psychology, Cognitive Science, Marketing/Communications, or similar)
Quantitative data analysis skills a strong plus

💡 Responsibilities

Review briefs and execute deck research
Attend and participate in client calls/meetings
Execute and analyze different forms of quantitative and qualitative research
Facilitate workshops with clients
Create and present client deliverables (reports, recommendations, presentations, etc.)

Posted about 1 month ago

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🔥 Power BI Analyst

Posted about 2 months ago

📍 Canada

🧭 Full-Time

🔍 Consulting

🔧 Requirements

Expertise in PowerBI reporting
Experience in pharma commercial reporting
Proficient in SQL for querying data, doing investigations, analysis, etc.
Experience and knowledge with Data Warehouse ETL process using SSIS packages is preferred

💡 Responsibilities

Coordinate with different stakeholders to gather requirements and propose KPIs based on requirements

Posted about 2 months ago

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🔥 Business Analyst Lead - Insurance

Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Healthcare Insurance

🔧 Requirements

5-10 years in data analysis and profiling, specifically within the healthcare insurance domain with a graduate degree in Business Analytics, MBA, or a related field
Robust and hands-on SQL and Python skills and experience with visualization tools Tableau/PowerBI
Must have strong communication skills
Must have some Insurance industry background and potentially well versed with the billing functionalities (Payroll billing, Direct Billing)
Knowledge of statistical and machine learning algorithms
Strong project management and team management skills and ability to work with global teams

💡 Responsibilities

Work on the latest applications of analytics to solve business problems
Work directly with client stakeholders to translate business problems into high-level analytics solution designs
Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value
Responsible for managing analytics projects and collaborating with client stakeholders and Tiger’s team situated globally.
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions

Posted about 2 months ago

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🔥 Delivery Lead

Posted 4 months ago

📍 Mexico

🔍 Analytics Consulting

🔧 Requirements

10+ years of experience in analytics consulting or related fields.
Strong project management skills with a record of managing complex projects.
Excellent verbal and written communication skills for stakeholder engagement.
Experience in building and nurturing client relationships for collaboration.
Ability to manage budgets and resources effectively.
Deep understanding of analytics tools and methodologies.
Team leadership experience with a focus on mentoring and talent development.
Degree in a relevant field such as Business, Analytics, or Data Science.

💡 Responsibilities

Lead and mentor a diverse team of analytics professionals, encouraging innovation and ensuring successful project delivery.
Collaborate closely with clients, understanding their needs and guiding them from conception to execution.
Drive operational strategy to scale delivery functions and meet growing client demands.
Establish a culture of continuous improvement using feedback to enhance delivery.
Manage resource allocation, forecasting, and budgeting for operational efficiency.
Showcase analytical expertise by developing and presenting insights that guide business decisions.

LeadershipProject ManagementBusiness IntelligenceData AnalysisClient relationship managementBudgeting

Posted 4 months ago

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🔥 Senior Tableau Consultant

Posted 5 months ago

📍 United States

🔍 Advanced analytics consulting

🔧 Requirements

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.

💡 Responsibilities

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 AnalysisETLSnowflakeTableauCollaboration

Posted 5 months ago

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🔥 Technical Project Manager- Canada

Posted 5 months ago

📍 Canada

🔍 Advanced analytics consulting

🔧 Requirements

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.

💡 Responsibilities

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 5 months ago

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