Statistical Analyst Jobs in Aizawl
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Search Results - Statistical Analyst Jobs in Aizawl
Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI.-Aizawl-
of clinical trial data standards and regulatory requirements.
• Ability to perform data validation, quality checks, and support statistical analysis activities.
• Experience working with clinical study teams, biostatisticians, and data management teams...
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Wisemonk-India-
to social media sentiment, satellite imagery, real estate transactions, and behavioural data.
• Develop predictive models and frameworks using tools from statistics, machine learning, econometrics, and beyond.
• Design, implement, and refine algorithms...
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princeps technologies-Aizawl-
Job Title: Senior Statistical Programmer (Oncology)
Location: Canada/IN
Employment Type: Full-Time
Experience: 8+
Overview
We are seeking an experienced Senior Statistical Programmer with strong Oncology clinical trial experience to support end...
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Cytel-Mumbai, 2116 km from Aizawl-
Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you will be dedicated to one of our...
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Applied Data Finance-Aizawl-
and potential impact on the customer relationship.
• Apply advanced data analysis and statistical techniques to evaluate strategy effectiveness and identify opportunities for improvement.
• Use statistical inference, advanced statistical analysis, and A/B...
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Cybage Software-Pune, 2038 km from Aizawl-
and large-scale data handling, Statistical modelling and Machine Learning techniques
• Experience with: Data preparation and feature engineering, Predictive modelling and experimentation, Automation workflows and AI-driven analytics, Git/version control...
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HealthWorksAI-Aizawl-
turnaround.
• Project Ownership: Own high-impact projects that directly influence client bottom lines; work with the Delivery Manager to select the right analytical approach.
• Modelling & Presentation: Partner with the statistical team to build models...
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Cube Hub Inc.-Aizawl-
to support pricing, revenue, and operational decision-making.
• Investigate data anomalies and perform root-cause analysis for discrepancies identified during QC reviews.
• Collaborate with business analysts, pricing teams, and data engineering teams...
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Information Tech Consultants-Aizawl-
analysis, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Ability to compile and organize statistical...
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Save the Children International-Aizawl-
Experience in designing or supporting MEAL (Monitoring, Evaluation, Accountability & Learning) frameworks
• Knowledge of statistical analysis techniques (e.g., regression analysis)
• Exposure to digital systems in education or social impact sectors...
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ThreatXIntel-Aizawl-
Statistical Modeling and Machine Learning
• Time-Series Analysis
• Scenario Analysis
• Palantir Foundry (Preferred)
• Cloud Data Platforms
• Data Visualization and Storytelling
• Utilities / Network Operations Domain Experience...
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KMK Consulting Inc.-Aizawl-
priorities and meet deadlines.
Good to have:
• Proficiency in Tableau/ Power BI for data visualization and reporting.
• Experience with Alteryx for data blending and advanced analytics.
• Familiarity with SAS for statistical analysis and modelling...
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Applied Data Finance-Aizawl-
Role Summary
Hands-on data scientist on the data science and model development team, focused on building the machine-learning and statistical models that power our consumer lending decisions. You will develop credit risk models for underwriting...
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Unotech Global-Aizawl-
to align data insights with business objectives and drive cross-functional projects.
Qualifications & Expertise:
• Educational Background: Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field...
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TalentQuell-Aizawl-
algorithms like classification (generative and discriminative), regression, clustering, and dimensionality reduction. The ideal candidate should have a firm grasp of mathematical fundamentals, including probability and statistics, linear algebra...
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