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TaskUs
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  • IT Applications Analyst, Business Analyst  

    - Not Specified
    What can you expect in an IT Applications Analyst, BA role with TaskUs... Read More

    What can you expect in an IT Applications Analyst, BA role with TaskUs:


    Think of yourself as someone who works closely with Senior Applications Analysts and upper management to make sure that the scope and direction of each project is on schedule, as well as other departments for support and requirements analysis for our Ridiculously Awesome applications!


    Imagine yourself going to work with one thing on your mind: day to day planning, research, and documentation of all aspects of a specific project.


    Key Responsibilities:

    Coordinate internal resources and third parties/vendors for the flawless execution of projects.Lead the team in analyzing project requirements - includes scoping, setting up discovery meetings, and work estimation.Understand the Business Process/Function to determine and propose the needed solution for the project.Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility.Develop a detailed project plan to track progress of each project.Use appropriate verification techniques to manage changes in project scope, schedule and costs.Measure project performance using appropriate systems, tools and techniques.Report and escalate to management as needed.Manage the relationship with the client and all stakeholders.Establish and maintain relationships with third parties/vendors.Create and maintain comprehensive project documentation - includes Business Requirements Documents and project status.Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; and participating in professional societies.


    Required Qualifications:

    5+ years of proven working experience as a Systems Analyst in the IT industry - specifically in software development.With technical background and working knowledge (or hands-on experience) on software development specializing in web apps, browser extensions, mobile and data analytics - includes experience with Agile (and waterfall) methodologies.Solid experience with BPO frontline processes and workflows (i.e. content moderation, hybrid customer support, back office processing, operational KPIs, etc.).Excellent client-facing and internal communication skills.Excellent written and verbal communication skills.Solid project management and organizational skills including attention to detail and multi-tasking skills.Strong working knowledge of Microsoft Office or G Suite, and MS Project or similar software.Working knowledge of JIRA, Smartsheet and Visual Studio is a plus.Experience with other SaaS applications (like Oracle, Salesforce, Concur, Docebo) and ITSM (like ServiceNow) and Lean/6 Sigma experience/credentials preferred. If you have experience in delivery of Enterprise Applications in compliance with ISO 27001, that's nice to have.Knowledge with ETL Processes/Data Analysis are good to have.


    Education / Certifications:

    Bachelor's/College Degree in Engineering (Computer/Telecommunication), Computer Science/Information Technology, or equivalent.


    Work Location / Work Schedule / Travel:

    Chennai (5 days -Onsite)Rotating/ ShiftingAmenable to start ASAP or in 30 days

    Read Less
  • Data Science Manager  

    - Not Specified
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Mumbai
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Bangalore
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Shimoga
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Not Specified
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Amravati
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Thiruvananthapuram
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Thane
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

    Read Less
  • Data Science Manager  

    - Nashik
    Key ResponsibilitiesStrategic Transformation LeadershipDefine and lead... Read More

    Key Responsibilities


    Strategic Transformation Leadership

    Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.


    AI/ML-Driven Innovation

    Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.


    Process Reengineering

    Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.


    Cross-functional Program Execution

    Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.


    Capability Building & Change Management

    Drive organizational maturity in digital transformation, citizen development, and AI literacy.Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.


    Required Qualifications

    Bachelor's degree in Engineering, Computer Science, or a related field.8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.Strong experience in BPO-related operations viewed through a data science lens.5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.High proficiency in Amazon SageMaker for model development and deployment.Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.


    Preferred Traits

    Strategic thinker with a bias for action and problem-solving mindset.Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.Excellent communication and storytelling skills, especially in presenting data-backed recommendations.Comfortable operating in fast-paced, ambiguous, and matrixed environments


    How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.


    DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.


    We invite you to explore all TaskUs career opportunities and apply through the provided URL

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany