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- ...EXPERIMENTATION Design, execute, and analyze A/B and multivariate experiments across product, monetization, and store surfaces. Ensure statistically sound testing by defining success metrics, validating test integrity, and delivering data-backed recommendations. Maintain an...
- ...business problems and improve product performance. This role is ideal for early-career professionals interested in machine learning, statistical analysis, and data-driven product development. Key Responsibilities Collect, clean, and analyze...
- ...knowledge of logical and semantic data modeling is required. Education: Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science). Soft Skills: Strong experience with Agile/Scrum methodologies, demonstrated leadership to...
- ...To be able to calculate demand /consumption of agri commodities Qualifications ~ Masters in Agronomy / Agricultural Statistics / Data Analytics / Maths & Economics / Statistics. ~2 to 3 years’ experience with the right skill sets. Fresher with the right...
- ...systems. Proficiency in Google Sheets / Excel (formulas, pivot tables, basic modeling). Exposure to A/B testing concepts, statistics, or experimentation frameworks. Familiarity with data analytics and visualization tools such as Excel, SQL, Power BI, Tableau....
- ...integrity across reports and dashboards. Qualification Criteria - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field - 1+ year of experience in a data analyst or similar role - Proficient in SQL (Athena preferred),...
- ...experience, not just reduce costs. What you need Must-haves: ~ Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related technical field ~6+ years of experience working with machine learning program management, analytics in any form-...
- ...studies Proficiency in research tools: Weights & Biases, MLflow, TensorBoard Strong theoretical foundation in optimization, statistics, and linear algebra Preferred Qualifications Experience with fraud detection, cybersecurity, or trust & safety...
- ...and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem solving approaches to effectively extract meaningful patterns and business insights...
- ...database architecture (log tables, completion criteria). Basic understanding of predictive modeling, machine learning concepts, or statistical analysis within EdTech. Experience utilizing JavaScript-based visualization libraries (such as D3.js or Chart.js) to craft...
- ...measurable outcomes. The ideal candidate will be responsible for the complete data science lifecycle, including data exploration, statistical modeling, machine learning development, deployment, monitoring, performance optimization, and continuous improvement of...
- ...productionize machine learning systems using CRC's full internal data environment. This includes tuning an existing NLP engine, developing statistical/ML models (including ordered probit and regression-based DFS calculator), building internal LLMs trained on CRC documents, and...Remote job
- ...institutional responsibilities. Qualification: • PhD in Business Analytics, Data Science, Artificial Intelligence, Information Systems, Statistics, Management Science, or a related discipline. • 5–10 years of industrial/corporate experience required. Interested applicants...
- ...and validation rules. · Monitor dataset integrity across projects. Job Requirements · Bachelor’s Degree in Data Science, Statistics, Computer Science, Information Systems, or related field. · Must possess a Data validation and auditing skills. · Knowledge...
- ...Mid to Senior (PhD Required) About the Role We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite — trust & safety, ad fraud detection,...
- ...capacity of cooperating partner staff on basic and medium level data management skills, data processing protocols and assisting with statistical analysis 3. Follow up with CP for submission of the monthly invoices and reports along with the supporting documents and further...
- ...~ PyTorch ~ Scikit-learn ~ XGBoost Strong understanding of machine learning algorithms, deep learning architectures, statistics, and data modeling. Hands-on experience with Natural Language Processing (NLP), Computer Vision, or Recommendation Systems....
- ...media tailored to target audiences. • Proofread and edit blog posts to ensure accuracy, grammar, and coherency. • Verify facts, statistics, and references cited within the content. • Ensure all content is consistent in style, tone, and voice, reflecting the brand's...
- ...Quality Management System. Plan and conduct internal quality audits and facilitate proactive solutions by collecting and performing statistical analysis of quality data. Establish and implement the Inspection and Testing Plan Participate in GMP Audit Program for the...
- ...Capture and maintain technical metadata including: Asset names. Schemas. Data types. Nullability. Column-level statistics. Refresh frequencies. ~ Configure Databricks Unity Catalog integration to ensure ongoing automated metadata harvesting....
- ...models . Work extensively with time-series datasets related to sales, demand, and supply planning . Apply and optimize statistical forecasting techniques and machine learning algorithms . Perform advanced feature engineering incorporating seasonality, trends...
- ...of-the-art open-source AI models ● Train and optimize models across domains such as object detection, classification, OCR, and statistical modeling ● Build robust data pipelines and integration architectures for improved performance and reduced latency. ●...
- ...skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working...
- ...enrolled in or recently graduated from a university program in BBA, supply chain, logistics, industrial engineering, business, math & statistics or related field. Comfortable using digital tools such as spreadsheets and basic inventory systems, or willing to learn....
GlaxoSmithKline
Korangi, Malir3 days ago - ...solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions. You will play a key role...
CreditNinja - KMD Partners, LLC
Lahore4 days ago - ...levels by keeping a daily track. Ensure quality, delivery budget and environmental objectives are met. Produce reports and statistics, as required Ensure the follow up of store activities against receipt, storage of materials as per plan. To maintain safety...
Premier Group
Okara1 day ago - ...visualizations, dashboards, and presentations. Requirements: • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. • Proven experience with Python, R, SQL, and relevant data science libraries • Experience with data...
- ...time to time. Qualifications & Experience A minimum of Bachelor's degree in a relevant field (Public Health, Social Sciences, Statistics, Epidemiology, Development Studies, etc.). Have 1 + years of experience of data collection and/or coordination of field-based...
Pakistan Centre for Philanthropy
Chitral, Khyber Pakhtunkhwa5 days ago - ...criminal, taking psychological behavior, environmental factors, and economic indicators like education into account. These collected statistics are then converted into active profiles that the police and others can use to help predict crimes and potentially dangerous...
Practical Adult Insights
Pakistan5 days ago - ...encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation. Build time series models (statistical and ML/DL approaches) and validate with proper backtesting. Apply clustering and segmentation techniques (k-means, hierarchical...
