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data scientist ii

Afiniti

<div>
 
 
 Who Are We?
 
 
 
 Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.
 
 
 Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.
 
 
 
 
 
 
 Our Vision
 
 
 
 Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.
 
 
 
 
 
 
 Our Ways of Working
 
 
 
 At Afiniti, how we work is just as important as what we achieve. Our
 
 Ways of Working
 
 are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.
 
 
 Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.
 
 
 
 
 
 
 The Role
 
 
 
 
 Data Scientist II
 
 
 
 
 Reporting to:
 
 Director &ndash; Data Science
 
 
 
 
 
 
 Location
 
 
 
 Pakistan
 
 
 
 Work Environment:
 
 Hybrid
 
 
 
 
 
 
 About The Role
 
 
 
 Afiniti is looking for a
 
 Data Scientist II
 
 who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.
 
 
 As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.
 
 
 
 
 
 
 What Will be Your Key Deliverables
 
 
 <ul>
 <li>
 Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
 </li>
 <li>
 Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
 </li>
 <li>
 Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.
 </li>
 <li>
 Translate abstract or ambiguous problems into tractable, data-driven solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
 </li>
 <li>
 Communicate findings clearly and effectively to both technical and non-technical audiences.
 </li>
 <li>
 Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 Experience:
 
 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.
 
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.
 
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Strong command of Python, R, or Julia for data analysis and modeling.
 </li>
 <li>
 Proficiency in SQL and experience with relational databases.
 </li>
 <li>
 Solid foundation in statistics, machine learning, and mathematical optimization.
 </li>
 <li>
 Hands-on experience working with large datasets, data visualization, and analytical reporting.
 </li>
 <li>
 Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
 </li>
 <li>
 Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
 </li>
 <li>
 Excellent communication and collaboration skills in a cross-functional setting.
 </li>
 </ul>
 
 
 
 
 
 Behavioral Traits:
 
 Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.
 
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
 </li>
 <li>
 Familiarity with Airflow or similar workflow orchestration tools.
 </li>
 <li>
 Experience with cloud-based data processing or distributed computing frameworks.
 </li>
 <li>
 Exposure to production-level machine learning deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 
 What success looks like
 
 
 
 In this role, you will be successful if you:
 
 <ul>
 <li>
 Deliver robust, interpretable models that improve measurable business outcomes for clients.
 </li>
 <li>
 Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
 </li>
 <li>
 Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.
 </li>
 <li>
 Uphold high standards of analytical accuracy, reproducibility, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Why should you apply
 
 
 <ul>
 <li>
 Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
 </li>
 <li>
 Exposure to large-scale, high-impact projects across industries and regions.
 </li>
 <li>
 Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
 </li>
 <li>
 Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.
 </li>
 </ul>
 
 
 
 
 
 What will make you stand out in the crowd
 
 
 
 You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.
 
 
 
 
 
 
 
 
 
 We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.
 
 
</div>

Data Scientist II

<div><div>WHO ARE WE?
</div><div>Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.</div>
<div>Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.</div>
<div>Our vision</div>
<div>Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.</div>
<div>Our Ways of Working</div>
<div>At Afiniti, how we work is just as important as what we achieve. Our Ways of Working are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.</div>
<div>Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.</div>
<div></div><div>THE ROLE 
Data Scientist II 
Reporting to: Director &ndash; Data Science 
LOCATION 
Pakistan 
Work Environment: Hybrid</div>
<div></div><div>ABOUT THE ROLE</div>
<div>Afiniti is looking for a Data Scientist II who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.</div>
<div>As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.</div>
<div></div><div>What will be your key deliverables</div>
<ul><li>Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.</li>
<li>Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.</li>
<li>Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.</li>
<li>Translate abstract or ambiguous problems into tractable, data-driven solutions.</li>
<li>Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.</li>
<li>Communicate findings clearly and effectively to both technical and non-technical audiences.</li>
<li>Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.</li>
</ul>
<div></div><div>Who you are</div>
<div>Experience: 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments. 
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.</div>
<div>Skills:</div>
<ul><li>Strong command of Python, R, or Julia for data analysis and modeling.</li>
<li>Proficiency in SQL and experience with relational databases.</li>
<li>Solid foundation in statistics, machine learning, and mathematical optimization.</li>
<li>Hands-on experience working with large datasets, data visualization, and analytical reporting.</li>
<li>Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.</li>
<li>Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.</li>
<li>Excellent communication and collaboration skills in a cross-functional setting.</li>
</ul><div>Behavioral Traits: Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.</div>
<div></div><div>Nice to have</div>
<ul><li>Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.</li>
<li>Familiarity with Airflow or similar workflow orchestration tools.</li>
<li>Experience with cloud-based data processing or distributed computing frameworks.</li>
<li>Exposure to production-level machine learning deployment and monitoring.</li>
</ul>
<div></div><div>What success looks like</div>
<div>In this role, you will be successful if you:</div>
<ul><li>Deliver robust, interpretable models that improve measurable business outcomes for clients.</li>
<li>Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.</li>
<li>Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.</li>
<li>Uphold high standards of analytical accuracy, reproducibility, and documentation.</li>
</ul>
<div></div><div>Why should you apply</div>
<ul><li>Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.</li>
<li>Exposure to large-scale, high-impact projects across industries and regions.</li>
<li>Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.</li>
<li>Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.</li>
</ul>
<div></div><div>What will make you stand out in the crowd</div>
<div>You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.</div> 
<div></div>
<div></div><div>We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.</div></div><div></div>

Soft Nation Technologies

Soft Nation Technologies is looking for Data Scientist to join the teamLocation: Gulshan-e-Iqbal, Karachi Timings: 11am-8pm or 12pm-9:00pmKey Responsibilities:<ul><li>Collect, clean, and analyze structured and unstructured data.</li><li>Develop and maintain AI and ML models, including generative AI.</li><li>Perform ETL processes and automate data workflows.</li><li>Conduct web scraping and data extraction from diverse sources.</li><li>Build analytical reports and visualization dashboards.</li><li>Manage databases and ensure data accuracy.</li><li>Document models, results, and data processes.</li></ul>Required Skills:<ul><li>Proficient in Python, SQL, Pandas, NumPy.</li><li>Strong understanding of machine learning and data preprocessing.</li><li>Familiar with TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience in data visualization tools.</li><li>Knowledge of database systems and ETL pipelines.</li><li>Skills in web scraping and reverse engineering data workflows.</li><li>Strong analytical and problem-solving abilities.</li></ul>Preferred Skills:<ul><li>Exposure to Generative AI tools (OpenAI, Hugging Face, LangChain).</li><li>Understanding of prompt engineering and model evaluation.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Can you join immediately?</li></ul>Experience:<ul><li>Data Scientist : 1 year (Required)</li></ul>Work Location: In person

Data Scientist

RTW Creation

RTW Creation, a Hand Bags Manufacturer and E-commerce store based in Karachi, is looking for a talented &amp; motivated Data Scientist. As a Data Scientist, you will play a crucial role in analyzing and interpreting data to provide valuable insights and support data-driven decision-making across our business. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement.Roles and Responsibilities:<ul><li>Collect, clean, and preprocess data from various sources to create usable datasets.</li><li>Apply statistical analysis and machine learning algorithms to build predictive and prescriptive models.</li><li>Conduct data exploration and visualization to identify trends and patterns in the data.</li><li>Collaborate with business stakeholders to understand their requirements and translate them into data-driven solutions.</li><li>Develop and deploy machine learning models into production environments.</li><li>Monitor and evaluate the performance of data models and make necessary improvements.</li><li>Provide actionable insights and recommendations to improve business processes and customer experiences.</li><li>Work on data-driven projects related to sales forecasting, customer segmentation, and product recommendation.</li><li>Stay up-to-date with the latest advancements in data science and machine learning technologies.</li><li>Continuously improve data quality, data integrity, and data security practices.</li></ul>Required Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.</li><li>3+ years of professional experience in a data science role or a similar position.</li><li>Proven track record of applying data science techniques to solve real-world problems.</li><li>Strong analytical and mathematical skills.</li><li>Experience with data extraction, transformation, and loading (ETL) processes.</li><li>Strong proficiency in programming languages such as Python and/or R and/or SQL.</li><li>Strong problem-solving skills and a data-driven mindset.</li><li>Familiarity with data visualization tools and libraries.</li><li>Ability to work with cross-functional teams and communicate technical concepts effectively.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthAbility to commute/relocate:<ul><li>Karachi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

Senior Data Analyst

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Senior Data Scientist</h3>
Location: Karachi<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4> 
Job Description:
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Key Responsibilities<ul><li>
Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.</li><li>
Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.</li><li>
Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.</li><li>
Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.</li><li>
Build Python-based tools and scripts for data processing, visualization, and decision automation.</li><li>
Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.</li><li>
Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.</li><li>
Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.</li></ul> 
Requirements<ul><li>
8+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).</li><li>
Strong background in agentic AI systems and their practical applications in business or technical workflows.</li><li>
Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).</li><li>
Solid understanding of data structuring, processing, and visualization.</li><li>
Proven track record of building and deploying data-centric and AI-assisted solutions.</li><li>
Experience managing cross-functional teams and delivering complex technical projects.</li><li>
Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
32qfQ3OWtD</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 
 Location:
 
 Karachi
 
 
 
 Job Type:
 
 Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.
 </li>
 <li>
 Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.
 </li>
 <li>
 Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.
 </li>
 <li>
 Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.
 </li>
 <li>
 Build Python-based tools and scripts for data processing, visualization, and decision automation.
 </li>
 <li>
 Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.
 </li>
 <li>
 Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.
 </li>
 <li>
 Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).
 </li>
 <li>
 Strong background in agentic AI systems and their practical applications in business or technical workflows.
 </li>
 <li>
 Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).
 </li>
 <li>
 Solid understanding of data structuring, processing, and visualization.
 </li>
 <li>
 Proven track record of building and deploying data-centric and AI-assisted solutions.
 </li>
 <li>
 Experience managing cross-functional teams and delivering complex technical projects.
 </li>
 <li>
 Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
</div>

Teamficient

Information Security &amp; GRC Analyst (Mid-Level)Company: TeamFicient Location: Remote Employment Type: Full-Time Salary Range: To be discussed (Negotiable for highly experienced candidates)Work Schedule:<ul><li>Time Range: Between 7 AM &ndash; 7 PM CST (Graveyard shift)</li><li>Working Hours: 9 hours per day (8 working hours + 1-hour break)</li><li>Days Off: TBD (2 days per week)</li></ul>Why Join Us?<ul><li>Competitive salary based on experience.</li><li>Opportunity to grow within an international, people-first organization.</li><li>Supportive work environment that values innovation, inclusion, and career growth.</li></ul>Position OverviewThis role bridges Information Security Governance and Technical Compliance for our MDR + Compliance platform.The Information Security &amp; GRC Analyst ensures alignment with frameworks such as ISO 27001, SOC 2 Type II, NIST CSF 2.0, GDPR, HIPAA, and PCI DSS, translating requirements into technical implementation tasks for engineering teams and maintaining audit readiness.Key Responsibilities<ul><li>Build and maintain the Control Matrix and Statement of Applicability across frameworks.</li><li>Perform risk and gap assessments, maintain the risk register, and treatment plans.</li><li>Map framework controls to technical configurations (Azure, AWS, EDR, CI/CD).</li><li>Collect and validate audit evidence (logs, reports, approvals, tickets).</li><li>Draft and update policies: Access Control, Incident Response, Secure Development, and Vendor Risk Management.</li><li>Support data privacy and AI governance tasks (LLM usage, data segregation).</li><li>Prepare for external audits and track corrective actions.</li><li>Conduct internal security awareness training sessions.</li></ul>Qualifications &amp; Must-Haves<ul><li>3&ndash;5 years of experience in Information Security or GRC.</li><li>Deep knowledge of ISO 27001, SOC 2 Type II, NIST CSF 2.0, GDPR, HIPAA, PCI DSS, ADHICS.</li><li>Familiar with cloud security controls (Azure Defender, AWS Security Hub).</li><li>Strong documentation, communication, and policy writing skills.</li><li>Experience using compliance automation tools (Drata, Vanta, Secureframe).</li></ul>Tech Stack &amp; Frameworks:<ul><li>ISO 27001, SOC 2 Type II, NIST CSF 2.0, GDPR, HIPAA, PCI DSS, ADHICS, Azure Security Center, AWS Config, Drata, Vanta, ClickUp, Google Workspace</li></ul>Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Information Security, Computer Science, or Cybersecurity Governance.</li><li>ISO 27001 Lead Implementer/Auditor or equivalent certification preferred.</li></ul>Technical/System Requirements<ul><li>Desktop or laptop with Intel Core i7 / i9 or AMD Ryzen 7 / 9 (or higher) processor</li><li>Minimum 32GB RAM for multitasking and large file handling</li><li>NVIDIA RTX or AMD Radeon Pro graphics card (recommended)</li><li>Workstation free from noise and distractions</li><li>Stable primary internet connection and backup internet</li><li>USB headset with noise-cancelling microphone</li><li>Backup power source (generator, UPS, or accessible alternative workspace during outages)</li></ul>This is a long-term opportunity for an experienced IT professional who is ready to take on a leadership role in a fast-paced, global organization.Join TeamFicient and help build efficient, secure, and scalable IT operations that empower teams to perform at their best.Job Type: Full-timeApplication Question(s):<ul><li>What is your expected monthly salary for this position (in PKR)?</li></ul>Work Location: Remote

(REMOTE) Information Security & GRC Analyst (Mid-Level)

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Data Scientist II

Data Scientist II

Data Scientist

Senior Data Analyst

Senior - Data Scientist

Senior - Data Scientist

(REMOTE) Information Security & GRC Analyst (Mid-Level)