Data Mining Jobs

Find remote positions requiring Data Mining skills. Browse through opportunities where you can utilize your expertise and grow your career.

Data Mining
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📍 Romania, North America, Europe

🔍 Ad tech

🏢 Company: eyeo👥 51-100InternetOpen SourcePrivacySoftwareBrowser Extensions

  • At least 4 years of relevant industry experience.
  • Undergraduate degree in a STEM program.
  • Strong skills with Python and SQL.
  • Extensive background in statistical analysis, machine learning, and data mining.
  • Excellent applied statistics skills, including hypothesis testing and experimental design.
  • Experience with big data and model optimization.
  • Ability to explain findings in layman's terms, both verbally and visually.

  • Optimize business processes and improve operational efficiency by identifying opportunities for automation.
  • Create and analyze A/B tests to assist engineering and product teams in decision-making.
  • Design and develop algorithms for core business applications including regressions, image processing, forecasting, and real-time bidding.
  • Challenge existing product features and build data-backed business cases to influence product roadmaps.
  • Collaborate with engineering teams to enhance data collection strategies and processes.

PythonSQLData AnalysisData MiningImage ProcessingMachine LearningAlgorithmsA/B testing

Posted 1 day ago
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📍 全国居住可能

🧭 正社員

🔍 フィンテック

🏢 Company: PayPay👥 1001-5000💰 $67,399,518 over 4 years agoInternetMobile PaymentsFinanceFinTech

  • 要員計画や人件費に関する分析およびシミュレーションの経験(3年以上)
  • データ分析ツールやBIツールを用いたデータ集計・分析のスキル
  • 人材マネジメントやコスト管理に関する知識と経験
  • 高いコミュニケーションスキルとチームワーク能力

  • 要員計画・人件費シミュレーション分析の推進
  • 各部門から提供されるデータをもとに、将来の要員計画や人件費シミュレーションを行う。
  • シナリオ作成やコスト分析を通じて、経営層への意思決定をサポートする。
  • 組織全体の人件費構造を詳細に分析し、効率的なコスト管理や最適な人員配置を提案する。
  • Workday HCMやWorkday Adaptiveの利用によるシステム連携・運用改善を行う。
  • 社内の分析基盤やBIツールを用いて、要員や人件費に関するデータの収集・整理・分析を行う。

Business IntelligenceData AnalysisData MiningData visualization

Posted 2 days ago
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🔥 Manager, Policy
Posted 3 days ago

📍 US, UK, Ireland, Poland, Germany

🧭 Full-Time

💸 140000.0 - 165000.0 USD per year

🔍 Ecommerce, livestream shopping

🏢 Company: Whatnot👥 251-500💰 $260,000,000 Series D over 2 years agoInternetMarketplaceE-CommerceInformation TechnologyTrading PlatformCollectibles

  • 5+ years of experience in a policy, strategy, or business operations role.
  • Strong analytical abilities and problem-solving skills.
  • Experience with SQL and dashboard creation.
  • Proven ability to drive process improvement using data.
  • Excellent oral and written communication skills.
  • Strong project management skills.

  • Identify and collect relevant data to inform policy gaps and problem areas.
  • Implement accurate and effective policy together with product and operations teams.
  • Resolve complex policy escalations with a high degree of autonomy.
  • Partner with cross-functional teams to develop new policies and enforcement criteria.

Project ManagementSQLData AnalysisData MiningProcess improvement

Posted 3 days ago
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📍 Pakistan

🔍 Education Technology (EdTech)

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Technology, or related field.
  • 1 to 3 years of experience in data analysis, business intelligence, or a similar role OR Fresh graduates with relevant academic projects or internships.
  • Proficiency in data analysis tools and languages (e.g., Excel, SQL, Python, R).
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong understanding of statistical analysis and data modeling techniques.
  • Familiarity with data management and cleaning processes.
  • Strong ability to interpret complex data and translate it into actionable insights.
  • Excellent problem-solving skills and attention to detail.
  • Understanding of business operations and alignment of data analysis with objectives.
  • Excellent organizational and time-management abilities.
  • Strong communication and presentation skills.

  • Analyze large and complex datasets to identify trends and insights that support business objectives.
  • Perform statistical analysis and data mining to uncover actionable insights.
  • Develop and maintain interactive dashboards and reports using data visualization tools.
  • Present findings clearly to non-technical stakeholders through visualizations and reports.
  • Translate data insights into actionable recommendations.
  • Collaborate with team members to align data analysis with business goals.
  • Assist in data collection, cleaning, and preprocessing.
  • Monitor data quality and collaborate with Data Quality Specialist.
  • Understand cross-functional data needs and deliver relevant analyses.
  • Propose and implement improvements to data analysis processes.

PythonSQLData AnalysisData MiningTableauData visualizationData modelingData management

Posted 3 days ago
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📍 Turkey

🔍 Digital Transformation & IT Consulting

🏢 Company: Oredata Yazılım Limited Şirketi

  • Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering or equivalent practical experience.
  • Min 4 years of professional work experience as a Data Scientist is required.
  • Willingness to learn more about new languages and frameworks.
  • Experience in Python.
  • Creative and innovative problem-solving skills.
  • Good team player, result oriented attitude, and analytical mind.
  • Advanced level of English is a must.
  • No military obligation for male candidates for at least 2 years.

  • Lead the collection, cleaning, and organisation of large, complex datasets from multiple sources.
  • Analyse and interpret data using advanced statistical techniques and machine learning algorithms.
  • Develop and implement predictive models to identify patterns, trends, and actionable insights.
  • Present complex findings and data-driven recommendations to stakeholders in a clear and concise manner.
  • Collaborate with cross-functional teams to solve business challenges through data-driven solutions.
  • Drive innovation in data science methodologies and tools within the organisation.

PythonData AnalysisData MiningGCPMachine LearningData visualization

Posted 3 days ago
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📍 United States of America

🧭 Full-Time

💸 43888.0 - 93574.8 USD per year

🔍 Healthcare

  • 1-3 years of Fraud Analyst experience in a digital retail environment.
  • Understanding of Automated Digital Fraud Detection Systems with decision-making skills.
  • Solid analytics understanding with proficiency in report writing software.
  • Ability to use Microsoft products: Excel, Word, PowerPoint, SharePoint, PowerBI.
  • Excellent spoken and written communication skills.
  • Ability to manage multiple tasks in a fast-paced environment.

  • Review dotcom orders for potential fraud and take appropriate actions.
  • Assist investigations utilizing specialized software for data mining and link analysis.
  • Identify patterns of fraudulent activity across all CVS Health digital channels.
  • Proactively develop intelligence to support fraud mitigation objectives.
  • Share information with various CVS Health business partners.
  • Analyze chargeback reports to discern trends and root causes.
  • Field customer service complaint calls regarding transaction-related issues.
  • Support investigative entities by escalating fraud threats and providing necessary data.

Data MiningMicrosoft Power BIMicrosoft Excel

Posted 5 days ago
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📍 San Mateo, west coast US

🔍 Financial technology

  • Experience working on AI Products.
  • Strong product management background in AI/ML.
  • Customer obsession and a hustle 'move fast' mindset.

  • Lead core verticals for Xero’s AI products.
  • Guide the mission to reinvent financial and business intelligence through AI.
  • Manage the development of AI features like JAX, proactive insights, and task automation.

PythonArtificial IntelligenceData AnalysisData MiningMachine Learning

Posted 6 days ago
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📍 United States of America

🧭 Full-Time

🔍 Pest Control and related services

🏢 Company: rentokilnorthamerica

  • Seven (7) years of relevant experience in data science or related analytical field.
  • Advanced knowledge of statistical/data mining methods and application.
  • Advanced knowledge of statistical and analytical model development.
  • Advanced knowledge of data modeling techniques and tools; R, Python, SAS, etc.
  • Advanced knowledge of visualization tools like PowerBI, Tableau, Quik, etc.
  • Master’s Degree in Computational Mathematics, Statistics or related field.
  • Certified specialist in predictive analytics or other data science related certifications.

  • Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams.
  • Ensure data quality and integrity.
  • Interpret and analyze data problems; translate into meaningful information and visualizations for executives.
  • Conceive, develop, and prioritize data projects in partnership with Cx leadership.
  • Build analytic systems and predictive models to support ongoing and future data needs.
  • Test and evaluate recommended solutions; manage tuning for improvement.
  • Experiment with new models and techniques to adapt solutions over time.
  • Align data projects with organization goals.
  • Build relationships to size analytical opportunities and create delivery plans for ROI.
  • Facilitate analytical discussions around data science applications, explore data modeling, and conduct exploratory data analysis.
  • Ensure compliance with regulatory requirements in model implementations.
  • Manage analytical projects prioritizing relevant activities and providing expertise.
  • Engage in personal development for ongoing skills enhancement.

PythonData MiningTableauData scienceData visualizationData modeling

Posted 6 days ago
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📍 Chicago, Dallas, Austin, Houston

💸 78500.0 - 81300.0 USD per year

🔍 Software, Open Source Technology

🏢 Company: Grafana Labs👥 501-1000💰 $240,000,000 Series D almost 3 years agoSoftware Development

  • Located in Chicago, Dallas, Austin or Houston.
  • Open to feedback and coaching.
  • Clear and concise written and verbal communication skills.
  • Excellent organizational skills with prioritization ability.
  • Willingness to tackle any task with a quality focus.
  • Resourceful and proactive in a dynamic environment.
  • Driven by purpose and a team-first attitude.

  • Build and maintain knowledge of technology, competitors, and industry trends.
  • Follow up on inbound leads effectively.
  • Proactively outreach to new leads using email, social media, and calls.
  • Utilize Salesforce and Grafana dashboards for lead management.
  • Use research and data for targeted outreach.
  • Drive discovery conversations to understand user needs.
  • Meet new business opportunity and pipeline targets.
  • Collaborate with marketing and sales teams.

Data AnalysisData MiningSalesforceCommunication SkillsCollaborationCustomer serviceResearchMarket ResearchLead Generation

Posted 8 days ago
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📍 India - Karnataka, Telangana, Tamil Nadu, Maharashtra and Delhi

🧭 Full-Time

🔍 Telecommunications

  • Minimum 1+ years of experience in fraud detection, information security, or a related role.
  • Curiosity and willingness to learn spam and fraud within the Telecommunications industry.
  • Outstanding verbal and written communication skills in English.
  • Strong ethical values, process-oriented with organizational skills, and strong creativity.
  • Competency with Google suite and familiarity with data analysis concepts and tools.

  • Utilize Twilio’s tools and your own investigative powers to detect and prevent non-compliant activity.
  • Utilize your analytical and project management skills to think as a spammer, find bad actors, and shut them down.
  • Conduct investigations to find spam, analyze customer-reported text messages, and ensure compliance with Messaging Policies and Best Practices.

Data AnalysisData MiningAnalytical Skills

Posted 8 days ago
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