185 Data Analyst Data Scientist jobs in Pakistan

Job Brief:
Creative Chaos is looking for a talented Senior Data Scientist to join our innovative team. The ideal candidate will possess extensive experience in data analysis, machine learning, and statistical modeling. This role requires analyzing large datasets to derive actionable insights, building predictive models, and supporting data-driven decisions across various projects.

Duties and Responsibilities:

• Lead and manage data science projects, including problem identification, data gathering, analysis, modeling, and deployment of machine learning solutions.
• Collaborate with different teams to identify business challenges and shape them into data science projects.
• Design, implement, and optimize machine learning algorithms and statistical models to address complex business issues.
• Conduct exploratory data analysis to identify patterns and trends across large datasets.
• Work alongside data engineers to establish robust data pipelines for efficient data processing.
• Evaluate model performance using statistical metrics and validation techniques.
• Effectively communicate insights and findings to stakeholders through reports and presentations.
• Keep abreast of the latest trends and developments in data science, machine learning, and related fields.
• Mentor junior data scientists and contribute to their professional development.

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Sr. Data Scientist – Job description

Meet our team:

The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Roles & Responsibilities:

· The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale.

· You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.

· Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)

· Lead data science and model development techniques for the team.

· Leverage industry best practices and tools to continually improve teams' ability to build machine learning models.

What to Bring:

· BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus

· 5+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.)

· Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, .).

· Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,.).

· Proficiency in programming languages such as Python or R.

· Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).

· Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.

· Strong interpersonal skills with the ability to motivate, collaborate and influence

· Ability to deliver on multiple projects and meet tight deadlines

· Ability to effectively influence and communicate cross-functionally with all level

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

About Us

At VisionX, we are reshaping the convergence of AI and computer vision. Since our inception in 2017, we have enabled B2B enterprises to improve process efficiencies, drive revenue growth, and create a competitive advantage. We accomplish this by crafting outstanding bespoke product experiences for our clients, their customers, and the field workforce through advanced AI and emerging technologies.

Fast Company recognized us as one of the Top 10 Most Innovative Companies of 2020, alongside Microsoft and Snap Inc. We are trendsetters who innovate, build, and scale as your partner, providing technology that works with speed and agility, all while ensuring a competitive edge in affordability.

In addition to our AI solutions, VisionX serves as a GCC systems integrator for the most advanced AI-powered enterprise logistics platform tailored for warehouses, retail stores, and final-mile buildings.

Your Role

We’re looking for a strategic and technically strong Senior Data Scientist with a proven background in E-commerce analytics and product attribution modeling. You’ll be responsible for designing and implementing models that attribute user actions to product interactions and marketing channels, helping us better understand customer journeys and optimize product strategies.

Responsibilities:

- Lead the design and development of multi-touch attribution models, customer segmentation, and product affinity scoring.

- Analyze customer behavior and user journeys across the E-commerce funnel using first-party and third-party data.

- Develop machine learning models to predict purchase likelihood, LTV, churn, and product recommendations.

- Work with product, marketing, and engineering teams to design experiments and track KPIs.

- Clean, aggregate, and model large-scale structured and unstructured data from various sources (web, app, CRM, etc.).

- Communicate findings through visualizations, dashboards, and presentations to technical and non-technical stakeholders.

- Contribute to the development of data pipelines and MLOps infrastructure in collaboration with Data Engineering.

- Stay updated on the latest developments in attribution modeling, causal inference, and customer analytics.

What You Need:

- Bachelors/ Masters in Computer Science, Statistics, Applied Math, or a related field.

- 5+ years of experience in data science, preferably in E-commerce, retail tech, or digital marketplaces.

- Proven expertise in product attribution models, conversion path analysis, and marketing mix modeling.

- Proficient in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.

- Experience with ML libraries (XGBoost, LightGBM, TensorFlow, etc.).

- Strong grasp of statistical analysis, A/B testing, and causal inference techniques (e.g., propensity scoring, uplift modeling).

- Hands-on experience with BI tools like Tableau, Power BI, or Looker.

- Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git).

- Excellent communication skills and the ability to present technical insights clearly.

- Experience with real-time personalization or recommender systems.

- Familiarity with tools like dbt, Airflow, and BigQuery.

- Background in pricing, merchandising analytics, or inventory optimization.

Why Choose Us

Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.

You deliver! We will make your stay and journey with us worthwhile.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

Job Title: Expert in Predictive Analytics

Location: Information Technology and Services - Islamabad, Pakistan

Posted on: Jul 4, 2016

Last Date: Aug 8, 2016

1. This role will act as an expert in Predictive Analytics to exploit new analytic and statistical tools, producing insights into our customers and undertaking predictive and behavioral analytics driving evidence-based resource decisions.
2. The post holder will be expected to act independently as the expert, driving analytical insight into department-wide problems with complex recommendations that have been rigorously tested.
3. Decisions will affect all work areas in terms of enforcement and compliance of FBR, providing advice, direction, and support to enhance analytical capability in algorithm development to predict taxpayer outcomes.
4. The post holder will have a pioneering role with responsibility to significantly enhance the FBR’s analytical capability sustainably, informing decision-making and compliance strategy using data-driven analytics.
5. Work alongside existing technical staff to mentor, develop, and deepen predictive modeling/data science skills in the team.

ESSENTIAL KNOWLEDGE AND SKILLS

1. Critically challenge analysis employed in their business and provide constructive, pioneering alternatives to drive significant improvements.
2. Support innovation and improvement of risk, customer relationship management (CRM), and cost modeling to improve end-to-end processes.
3. Extensive experience of analyzing large and complex datasets.
4. Familiarity in algorithm development categorized as Artificial Intelligence, Predictive Analytics, Data Mining, or Machine Learning.
5. Demonstrably expert in predictive analytics using a variety of commercially available analytical IT tools, e.g., SAS, R, or Python.
6. Extensive hands-on experience of credit/risk and/or behavioral data analytics in a large organization.
7. Experience of delivering risk and analysis projects balancing cost, quality, and timing variables for successful delivery.
8. Significant experience (ideally 5 years +) in a post with project lead responsibility for operational applications of propensity/risk analysis strategies.
9. A minimum of a 4 year Bachelor’s degree or Masters in a numerate discipline from a recognized local or international university.
10. Strong quantitative and technical skills.
11. Experience of mentoring and developing teams in a complex analytical environment.
12. Ability to engage effectively with senior business users through clear and professional written communication.
13. An appreciation of Big Data technologies such as Hadoop, Spark, and Mapreduce.

Desired Knowledge and Skills

1. Knowledge of performance indicators used to monitor risk portfolio performance.
2. Experience of segmentation and marketing analytics approaches.
3. Good general understanding of BI tools and techniques such as Cognos, Business Objects, and Tableau.
4. The work is inherently complex and intellectually demanding - if you like ambiguous and challenging data work and logical problem-solving, this is for you.

We are looking for a proactive and analytical Data Scientist to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).

• Collect, clean, and organize structured and unstructured data from diverse sources.
• Ensure data accuracy, consistency, and readiness for analysis.
• Perform thorough EDA to understand data distributions, relationships, and anomalies.
• Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
• Work closely with business teams to identify trends and patterns that guide decisions.
• Handle missing data, outliers, and normalization techniques effectively.
• Transform raw data into features suitable for modeling and insights.
• Automate and optimize data preparation pipelines.
• Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
• Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
• Analyze and process unstructured text data for business use cases.
• Translate complex data problems into clear, actionable insights.
• Proactively identify opportunities for data-driven improvements across departments.
• Conduct root cause analysis and support hypothesis-driven investigations.
• Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
• Exhibit a high level of accountability, ownership, and willingness to support teammates.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 2–3 years of experience in a data science role.
• Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
• Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
• Solid understanding of machine learning algorithms and data modeling techniques.
• Strong data visualization and storytelling skills.
• Excellent problem-solving and critical thinking abilities.
• Strong communication skills and a collaborative mindset.