19236 Statistics Jobs - Page 8

Job Description Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Chandigarh Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: * Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. * Knowledge of Machine Learning algorithms and their real-world applications. * Understanding of statistics, data preprocessing, and EDA. * Excellent communication and presentation skills. * Ability to engage and inspire studentsfrom non-technical backgrounds. Eligibility Criteria: * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. * 2–5 years of experience in teaching/training or industry experience in data science roles. * Prior experience as a trainer or mentor is a plus. * Certificationsin Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: * Competitive salary + Incentives * Flexible working hours * Exposure to a large network of learners and tech professionals. * Opportunity to work on live projects and build personal brand through content/webinars.

Location: Work From Home Duration: 3 Months Internship Eligibility: All Stipend: Unpaid Roles and responsibilities of the Intern: 1. Market Research: Conduct thorough market research to understand industry trends, consumer behavior, and competitor activities. 2. Article Writing: To conduct research in diverse fields related to topics such as marketing, finance, and statistics, and write SEO-optimized articles and blogs. 3. Promotional Work: To do promotional work using social media using Social Media. 4. Data Analysis: Analyze and interpret data to identify patterns and opportunities that will inform our promotional initiatives. 5. Target Audience Analysis: Collaborate with the marketing team to define and refine target audience profiles for tailored promotions. 6. Promotional Content Creation: Assist in the creation of engaging promotional content for various platforms, including social media, emails, and websites. 7. To engage in group activities. 8. To get engaged in many opportunities provided by Eve Learning Space. Skills Required: strong: 1. Good communication skills 2. Excellent networking skills. 3. Active on social media 4. Diligence Perks and Incentives: 1. Offer Letter 2. Letter of Appointment 3. Certificate of Completion 4. Letter of Recommendation (Based on Performance) 5. Gain practical experience in market research and promotions, valuable for future marketing careers. 6. Work closely with a supportive and dynamic marketing team. 7. Receive mentorship and professional development opportunities. 8. Enhance your analytical and communication skills. Additional Information: 1. Interns who can work in a professional environment and meet deadlines are only requested to apply for this internship. 2. They will be provided with many opportunities to learn and grow, as Eve Learning Space itself is an opportunity portal.

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

🔍 Job Title: Lead Data Scientist – Healthcare Domain Specialist 📍 Location: Bangalore (Hybrid) 🕒 Employment Type: Full-Time | Payroll 📊 Industry: Healthcare | Artificial Intelligence | Predictive Analytics 🧠 Role Overview Seeking a Lead Data Scientist with extensive experience in healthcare data and predictive analytics , with a strong focus on developing AI/ML solutions for elderly fall risk assessment . This leadership role requires managing data science teams and collaborating cross-functionally with clinicians, product teams, and engineers to deploy impactful, scalable AI-driven healthcare solutions. 💼 Key Responsibilities AI/ML Model Development: Build, train, and optimize machine learning and deep learning models to assess and predict fall risk in elderly populations. Data Analysis & Feature Engineering: Analyze EHRs, clinical, and sensor data to uncover actionable insights and inform model development. Healthcare Integration: Apply domain expertise to ensure model reliability, clinical relevance, and ethical implementation in healthcare workflows. ETL & Data Pipelines: Design and implement robust data engineering pipelines to process data from multiple healthcare sources while maintaining quality and compliance. Collaboration: Partner with clinicians, engineers, and stakeholders to align AI solutions with patient care strategies and product goals. Compliance & Data Security: Ensure data handling practices are in line with HIPAA, GDPR, and other healthcare data regulations. Model Evaluation & Optimization: Monitor model performance and iterate to enhance accuracy and generalizability across datasets. Research & Innovation: Integrate the latest in healthcare AI research and technologies into real-world solutions. Team Leadership: Provide guidance to team members, manage task delivery, support technical problem-solving, and evaluate individual contributions. Stakeholder Communication: Present insights, results, and strategic value of AI initiatives to both technical and non-technical leadership. 🧾 Required Skills & Qualifications 🎓 Education Master's or PhD in Data Science, Computer Science, Bioinformatics, Statistics, or a related field. Strong academic foundation and understanding of healthcare concepts preferred. 💼 Experience 8–11 years of experience in data science, with at least 2+ years in healthcare AI applications. Proven track record leading AI initiatives in healthcare environments (e.g., hospitals, MedTech, health startups). Experience collaborating with interdisciplinary teams and contributing to research publications is a plus. 🛠 Technical Expertise Proficiency in Python and R. Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. Solid foundation in statistics, probability, machine learning, and feature engineering. Experience working with sensor, wearable, IoT, or time-series data is an advantage. Familiarity with cloud platforms such as Azure (preferred), AWS, or GCP. Skilled in ETL development and scalable data pipeline design. 🏥 Healthcare Domain Knowledge Understanding of fall prevention, geriatric care, and predictive healthcare strategies. Familiarity with Electronic Health Records (EHRs), regulatory standards (e.g., HIPAA, GDPR), and healthcare compliance best practices. 🤝 Soft Skills Proven leadership in managing and mentoring technical teams. Strong communication skills for both technical and executive audiences. A research-oriented and proactive mindset with attention to detail. ⭐ Preferred Qualifications Knowledge in biomechanics or human movement analysis. Experience with Explainable AI (XAI) and interpretable ML frameworks. 🎁 What’s on Offer Opportunity to work on impact-driven AI/ML healthcare solutions. Competitive salary and benefits. Flexible and hybrid work environment. Clear career advancement and leadership development. Inclusive, collaborative team culture that values innovation and purpose. 📌 Relevant Job Categories Data Scientist Data Analyst Software & Web Development – AI/ML ✅ Key Skill Requirements Skill Minimum Experience Proficiency Level Python 5+ Years Intermediate to Advanced Machine Learning 6+ Years Intermediate to Advanced Data Science & Analytics 6+ Years Intermediate TensorFlow / PyTorch 3+ Years Intermediate Azure / Cloud Platforms 2+ Years Intermediate Skills: data,ml,data science,learning,healthcare

Job Title: Senior Data Analyst Experience Required: 3+Years About the Role We are seeking an experienced Senior Data Analyst to transform data into actionable insights that drive strategic decision-making. The ideal candidate will have strong analytical skills, expertise in data visualization, and the ability to communicate findings effectively to both technical and non-technical stakeholders. Key Responsibilities Collect, clean, and analyze large datasets from multiple sources. Design and develop dashboards, reports, and visualizations for business stakeholders. Work with leadership to define KPIs and track business performance. Perform exploratory data analysis (EDA), trend analysis, and forecasting . Collaborate with cross-functional teams (engineering, product, finance, sales) to identify business opportunities. Translate business problems into analytical solutions. Provide actionable recommendations based on insights. Mentor junior analysts and ensure best practices in data analysis. Required Skills & Qualifications Bachelor’s or Master’s in Statistics, Mathematics, Computer Science, Economics, or related field. 5–8 years of experience as a Data Analyst or similar role. Strong proficiency in SQL and relational databases. Expertise in data visualization tools ( Tableau, Power BI, or Looker ). Proficiency in Excel (advanced functions, pivot tables, macros). Hands-on experience with Python or R for data analysis. Strong understanding of statistical methods, hypothesis testing, and forecasting . Excellent problem-solving and communication skills. Good to Have Experience with Big Data tools (Spark, Hadoop). Familiarity with cloud platforms (AWS, GCP, or Azure). Knowledge of ETL processes and data warehousing (Snowflake, Redshift, BigQuery). Exposure to machine learning concepts and predictive analytics.

Description Job Summary: The Central Ops Support Executive is expected to remotely support the daily operations of Fresh business along with other CST activities of sellers, including daily metrics monitoring, triggering on field support to sellers and audits, stake holder management, within and outside of Amazon, rolling out of new processes, and running central control centres. The job requires someone who has a larger picture of customer experience in mind and a high willingness to take ownership. The job requires a person who has skills in identifying patterns and any disruptions in it along with ability to scrutinize details and foresee the implications of the data. This team supports inbound and outbound operations via voice and non-voice channels. The candidate must be ready to work on weekends and in shifts. Roles And Responsibilities Extract data and follow SOP to prepare reports as per assigned schedule Remotely monitor efficient functioning of the assigned sites via out bound call, emails and by coordination with field executives Trigger the audit/works to the sites for various operational performances. Devise and deploy SOP's, analyse data, and propose features and processes. Willing to work on weekends Basic Qualifications Experience with Excel Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications Experience with SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3050148

Job Title: AI/ML Engineer Experience Required: 3+ Years About the Role We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in data science, machine learning algorithms, and deep learning frameworks, with the ability to translate business requirements into scalable AI solutions. Key Responsibilities Design, build, and deploy machine learning and deep learning models for real-world applications. Collaborate with data engineers and scientists to collect, clean, and preprocess data. Optimize models for performance, scalability, and accuracy. Implement MLOps practices for continuous training, monitoring, and deployment. Research and experiment with new algorithms, techniques, and tools in AI/ML. Work with stakeholders to define use cases and integrate AI solutions into products. Document processes, models, and workflows for knowledge sharing. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field. 3–7 years of experience in AI/ML development. Strong proficiency in Python and ML libraries (scikit-learn, NumPy, Pandas). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras). Solid understanding of machine learning algorithms, statistics, and data structures . Experience with NLP, Computer Vision, or Recommendation Systems . Familiarity with SQL/NoSQL databases and working with large-scale datasets. Exposure to cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML). Good knowledge of software engineering practices (Git, CI/CD, Docker, Kubernetes). Good to Have Experience with reinforcement learning or generative AI models (LLMs, GANs, Transformers) . Familiarity with big data frameworks (Spark, Hadoop). Knowledge of data visualization tools (Tableau, Power BI, matplotlib, seaborn). Prior exposure to MLOps pipelines and model monitoring tools .

Senior Data Analyst – E-commerce & Quick-Commerce Location: Gurugram, Haryana, India Experience: 3–5 years Employment Type: Full-time Industry: E-commerce / Quick-Commerce Department: Data & Analytics About the Role We’re looking for a skilled Senior Data Analyst with solid experience in e-commerce and quick-commerce domains. The role demands expertise in data collection, analysis, visualization, and communication, with a strong emphasis on web scraping for competitive intelligence and operational insights. Key Responsibilities Analyse large-scale datasets to extract business-critical insights on customer behaviour, sales trends, and operational performance. Create and maintain interactive dashboards using Power BI and Advanced Excel . Design, implement, and manage ETL pipelines to ensure data integrity and accessibility. Write performant SQL queries and leverage Python for data processing and analysis. Perform web scraping , including competitor product listings, pricing, reviews, and availability, using tools like Beautiful Soup, Scrapy, Selenium , and APIs. Ensure ethical and legal compliance in scraping practices, aligning with website terms of service and data privacy guidelines. Present actionable insights via reports and presentations to stakeholders. Collaborate with cross-functional teams across marketing, operations, and product for data-driven strategies. Mentor junior analysts and contribute to best practices in data governance and analytics workflows. Qualifications Experience: 3–5 years in data analysis roles, preferably in e-commerce or quick-commerce. Education: B.Tech (Engineering/Technology) BCA (Computer Applications) MCA (Computer Applications) Or equivalent degrees in Computer Science, Engineering, Statistics, Mathematics, or related disciplines. Technical Skills: Python , with expertise in scraping and data libraries (pandas, NumPy). SQL: Strong ability to write and optimize complex queries. Power BI: Proven ability to design interactive dashboards. ETL Tools: Experience with Talend, Informatic, or similar. Advanced Excel: Skilled in pivot tables, VLOOKUP, macros, advanced formulas. Web Scraping: Hands-on experience with frameworks and tools like Beautiful Soup, Scrapy, Selenium, Requests, and APIs. Ethical Practices: Familiarity with web scraping legal and ethical considerations. Soft Skills: Excellent verbal and written communication. Strong analytical mindset with attention to detail. Team player with the ability to simplify complex insights for non-technical stakeholders. Preferred Knowledge of statistical modelling or predictive analytics. Familiarity with data warehousing, data lake environments, or cloud-based pipelines. Exposure to BI tools like Tableau or Looker . Understanding of dynamic pricing, competitor tracking, and real-time analytics—common web scraping use cases in e-commerce. Interested Candidates can share their resume to hr@trailytics.com

🎲 Now Hiring: Sr. Game Mathematician – Real Money Gaming (RMG) 📍 Location: Gurugram / Noida 📅 Experience: 1–10 Years 💼 Industry: Digital Gaming | iGaming | Online Casino Join one of the world's leading gaming entertainment companies to build next-gen mathematical models for online slots, table games, and real-money gaming (RMG) platforms. 🔹 Key Responsibilities: • Design and verify math models (RTPs, hit rates, volatility, etc.) • Program and simulate game outcomes to validate model performance • Collaborate on game ideas, peer reviews, and documentation • Ensure timely delivery of math assets and game specs • Work closely with global stakeholders (UK/US) to drive successful launches • Participate in planning, testing tools, and agile delivery coordination 🎯 You Bring: • Bachelor's or Master’s degree with strong mathematics/statistics background • 1–10 years of experience in game math / digital casino gaming • Proficiency in Excel and programming languages (C/C++ preferred) • Deep understanding of the full project lifecycle (design to deployment) • Attention to detail, problem-solving mindset, and strong communication 📩 Apply Now: anupama@skyleaf.global 📞 Contact: +91-7500557801

About Us The Education Match is an online assessment and academic counselling company focused on the Indian education sector. We are India’s most comprehensive AI-powered career counselling platform, exclusively guiding students from grades 8-12 towards the best undergraduate pathways in India. Our platform combines psychometrics, information, and research to help families make data-driven education decisions. Role Overview This is a junior-level role designed for early-career professionals with less than 6 years of work experience . We are looking for an Associate Product Manager - Data & Content to join our team. This is a junior product role with a strong focus on managing the structured content and datasets that power The Education Match platform. You will play a key role in organising, maintaining, and improving the accuracy of our content, while also supporting product development initiatives. The role also comes with the opportunity to build and lead a small team for Data Configuration & Management over time. Key Responsibilities Take ownership of the Data & Content layer of The Education Match platform (courses, colleges, exams, careers). Ability to collaborate with product, tech, and research teams to align content with business needs. Support product and tech teams in building scalable data pipelines and workflows. Ensure data quality by managing structuring, enrichment, and updates. Work with counsellors and researchers to align content with student and parent needs. Track and report content health and usage metrics to the leadership team. Run audits to maintain content accuracy and usability. Build and lead a small Data Configuration & Management team as the platform scales. Desired Skills & Qualifications Bachelor’s degree in Engineering, Statistics, Computer Science, Data Analytics, or related field. 1–5 years of work experience in data management, content operations, or product support roles. Strong proficiency in Excel/Google Sheets ; familiarity with SQL or databases is a plus. Ability to structure, clean, and maintain large datasets with accuracy. Familiarity with content management systems and workflows for updating structured data. Exposure to APIs, basic scripting, or automation tools is an advantage. Strong organisational skills with attention to detail and ability to run periodic data audits. Strong understanding of data structures and basic database concepts. Familiarity with product management tools (JIRA, Notion, Confluence). Strong problem-solving skills, detail orientation, and ownership mindset. Interest in building a career in Product Management. What We Offer Opportunity to own and grow the core data and content backbone of The Education Match platform. A clear pathway to move into core Product Management roles. Direct mentorship from the founding team and exposure to high-impact product initiatives. Chance to lead a small team for Data Configuration & Management. Competitive compensation aligned with skills and potential.

POSITION REPORTS TO: SENIOR MANAGER – PROCESS EXCELLENCE (Master Black Belt) DEPARTMENT: OPERATIONS POSITION LOCATION: VADODARA, INDIA (ON-SITE) BUDGET: 15,00,000 - 17,50,000 PA. Position Summary - The Manager – Process Excellence (Black Belt) role is specifically designed to facilitate process/performance improvement activities and quality scores using Lean Six Sigma methodologies. Black Belts will be working closely with the senior manager on various projects that drive automation, improved processes/quality, standardization, SOPs, and customer satisfaction. Additional duties include leading, coaching, and mentoring Green Belts/Analysts, Process Owners, SMEs etc. in the use of Lean Six Sigma methodology. Serve as a strong resource to the organization on Six Sigma philosophy, theory, and application of tools and tactics by partnering with various stakeholders and leadership team to achieve corporate strategic initiatives. The goal is to reduce operational inefficiencies, Improve overall performance, productivity, and quality. Job Responsibilities- Lead a small team of analysts for various projects. Work closely with senior managers, process owners, SMEs to define the goal for improvement, the defects to be eliminated or improved. Primarily responsible for data collection, performance analysis and measuring progress by sharing metrics of findings. Monitor projects throughout the entire process ensuring timely and successful completion. For dependencies and conflicts, facilitate resolution by prioritizing deliverables and assign resources based on the direction provided by senior manager. Provide regular project updates and present data to the Leadership group. Develop strong working relationships with management, project team and other stakeholders. Build trust and create a clear communication channel to communicate findings and action items. Ensure team members are creating knowledge-based documents and documenting processes. Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. Other duties as assigned. Knowledge, skills & abilities- Bachelor’s degree required; Masters/MBA preferred. Black Belt certification required, external certification from an approved training program preferred; Project Management Professional (PMP) preferred. Self-driven & dynamic leader with 4+ years’ experience with change management, project management, continuous performance improvement and/or data analysis, preferably in service industry. Demonstrated desire to learn new skills and drive changes in a positive spirit of cooperation and collaboration. Solid skills in data collection, aptitude for math and statistical concepts (formal class work in basic statistics preferred). Proficiency in statistical software preferred (e.g. Minitab, SPSS). Proficient with MS Office tools (e.g. Power Point, Excel, Access, Word). Should be able to mentor/lead improvement initiatives independently and collaborate with all requisite stakeholders in accordance with timelines provided. Good experience in leading workshops/sessions on VSM and FMEA type of activities to identify process improvement opportunities. Confident in leading Lean/Six Sigma training sessions independently on a periodic basis. Must have the knack of logical reasoning while identifying high impact process improvement initiatives and take them to closure and ensure continuous improvement by taking E2E ownership. Attention to detail, including listening skills. Demonstrated formal/informal leadership skills with track record of results driven attitude through project management. Outstanding communication skills both verbal and written and ability to interact with and present to C-level executives and board members. Strong proven business acumen with problem solving analytical, and critical thinking skills. Enjoy working in a highly collaborative, fast-paced, and dynamic environment.

Job Title: Senior Data Scientist Experience Required: 3+ Years Employment Type: Full-time About the Role We are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will have strong expertise in data science, statistical modeling, and machine learning, along with the ability to translate business challenges into data-driven solutions. Key Responsibilities Lead end-to-end data science projects from problem definition to solution deployment. Develop predictive and prescriptive models using advanced machine learning and statistical techniques. Collaborate with stakeholders to understand business requirements and translate them into analytical problems. Perform data wrangling, feature engineering, and exploratory data analysis to extract insights. Work closely with engineering teams to productionize ML models and ensure scalability. Mentor junior data scientists and guide them on best practices. Communicate complex findings in a clear, concise, and business-friendly manner. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field (Ph.D. preferred). 3+ years of experience in Data Science / Machine Learning roles. Strong proficiency in Python / R and data manipulation libraries (pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks (TensorFlow, PyTorch, Keras). Solid understanding of statistical modeling, probability, and hypothesis testing. Hands-on experience with SQL and working with large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Excellent problem-solving and communication skills. Good to Have Experience in Natural Language Processing (NLP) / Computer Vision. Exposure to Big Data tools (Spark, Hadoop). Knowledge of data visualization tools (Tableau, Power BI, matplotlib, seaborn).

ABOUT US Screen Andragogy Platforms is a screen industries technology management company. We empower professionals, organizations, and educational institutions with integrated tools, insights, and services that streamline storytelling, analytics, and product development. By combining AI-driven platforms with expert-led support, we drive value across content creation, market research, and strategic growth. From concept to audience, our solutions ensure every story is told professionally, efficiently, and universally. Position Overview Screen Andragogy platforms is seeking a Junior AI & Media Finance Analyst with deep expertise in media finance, AI-powered modeling, and investment strategy. This role supports clients in the entertainment sector by combining advanced financial analysis with AI-enhanced workflows. The consultant will contribute to custom research, automated financial tools, and strategic financial documentation for clients. This position is designed for long-term cultural and strategic alignment. Therefore, full-time hiring is not offered directly. All candidates must first complete a mandatory one-year internship or consulting residency, during which they will work closely with our leadership and clients to understand our mission, operating model, and value delivery. Mandatory Policy 🛑 No direct full-time employment is offered at the outset. ✅ All candidates must complete a minimum 1-year internship or consulting engagement. 🌍 Selected candidates must be willing to travel with the company for at least 1–2 years. This is essential for: Cultural alignment Understanding cross-market financing practices Participating in live client engagements and real-time project iterations Only after successful completion of this phase will candidates be evaluated for full-time positions, based on value creation, strategic alignment, and contribution to Screen Andragogy platforms ecosystem. Position & Career Progression Title: Junior AI & Media Finance Analyst (Internship/Consulting Track) This is a structured, long-term opportunity designed to transition high-performing candidates into permanent roles: Year 1: Internship + Junior AI & Media Finance Analyst Role (minimum 1-year duration) – Hands-on experience with live projects, client engagements, and AI-driven media finance tools. Year 2: Promotion to Associate – AI & Media Finance (Fixed-Term Contract) based on performance. Post-Year 2: Conversion to Full-Time Permanent Position for candidates who meet performance, certification, and cultural fit requirements. Workplace & Location Model Screen Andragogy Platforms operates under a hub-and-spoke model: Hub: Near Vijayawada (currently without a developed ecosystem; operations via coworking spaces). Work Mode: Hybrid ,Mix of Both Work From Home and Work From Office, with occasional coworking space attendance 5–7 days/month for meetings, team sessions, or client work. Key Responsibilities AI-Driven Investment Analysis: Build ROI models for media projects using AI tools and comparable content data. Capital Structuring & Deal Design: Assist with co-productions, slate financing, tax incentives, and revenue modeling. Research Services: Lead semi-autonomous research projects on funding strategy and profitability. Industry Trend Monitoring: Track blockchain, NFTs, and alternative media finance technologies. Eligibility & Qualifications Educational Background: Bachelor’s degree in Finance, Economics, Mathematics, or Statistics MBA in Finance,Fintech Master’s in Data Science Professional Certifications: CFA, CA, ACCA, CMA Data Science for Finance certifications Skills & Experience: Interest or experience in media finance, investment analysis, or financial technology Proficiency in financial modeling (Excel, Python, R) and basic understanding of AI/ML concepts Strong analytical, communication, and cross-disciplinary collaboration skills Application Requirements Resume (mandatory) Cover Letter (mandatory) Portfolio (if available) – case studies, research work, modeling projects Selection Process Application & Screening – Review of resume, academic background, and portfolio (if submitted). Three-Round Interview Process: Round 1: AI for data analytics and Data Finance Data Challenge – Case Study & Applied Scenarios Round 2: Data Analytics & Financial Modeling – Media Finance Context Round 3: Strategic Consultancy & Business Decision-Making 3.Final Cultural Fit Round – Commitment to travel, learning, and long-term value contribution. Post-Selection Requirements Mandatory Certification: Selected candidates must complete an industry-standard certification (assigned by the company) within the deadline provided. Rigorous Training & Onboarding: Designed to measure conviction, discipline, and sustained interest in the role. Joining Letter Issuance: Only after successful completion of the certification and onboarding process. How to Apply Submit your Resume, Cover Letter, and Portfolio (GitHub, Kaggle, Tableau Public, personal website, dashboards, data visualizations, ML models, or case studies) through LinkedIn. We’re excited to see how your expertise in data engineering, financial modeling, predictive analytics, and data storytelling Show us examples of: SQL pipelines, ETL workflows, or data warehouse schemas Revenue forecasting dashboards or visualization projects Machine learning or statistical models (ROI,, deal predictions, analysis) Any relevant analytics, research, or business intelligence work

Job Summary We are seeking a highly skilled and detail-oriented Senior SQL Data Analyst to join our data-driven team. This role will be responsible for leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, delivering actionable insights to support business decisions. You will work closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies across the organization. Key Responsibilities Develop, write, and optimize advanced SQL queries to retrieve and analyze data from multiple sources. Design and maintain complex data models, dashboards, and reports. Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement. Ensure data integrity and accuracy across systems and reporting tools. Automate recurring reports and develop scalable data pipelines. Present findings in a clear, compelling way to both technical and non-technical audiences. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in data analysis or a similar role with a strong focus on SQL. Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). Experience with BI tools like Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Preferred Experience with scripting languages (Python, R) for data manipulation. Familiarity with cloud data platforms (AWS, Azure). Knowledge of ETL tools and best practices. Previous experience in a fast-paced, agile environment.

Job Summary We are seeking an experienced SAS CI 360 Consultant to join our team and play a critical role in managing, implementing, and optimizing customer intelligence solutions using SAS CI 360 platform. The ideal candidate will have a solid background in marketing automation, campaign management, data-driven decision-making, and customer analytics. This role requires strong technical expertise in SAS CI 360, excellent problem-solving abilities, and the ability to collaborate effectively with business stakeholders and cross-functional teams to drive successful marketing initiatives. Key Roles & Responsibilities Implementation & Solution Design : Design, configure, and implement marketing campaigns and customer journeys using SAS CI 360. Understand client business requirements and translate them into effective technical solutions. Develop personalized marketing strategies by leveraging SAS CI 360 modules like Campaign, Engage, Discover, and Audience. Campaign Management & Execution Build, execute, and monitor multi-channel campaigns (email, web, mobile, social). Ensure campaigns are delivered on time, error-free, and aligned with business goals. Perform campaign testing (A/B testing, control groups, etc.) and track performance metrics. Analytics & Insights Analyze customer data to generate actionable insights and recommend improvements. Use SAS CI 360 analytics capabilities to evaluate campaign performance and ROI. Support marketing teams with reporting dashboards, predictive modeling, and audience & Technical Support : Integrate SAS CI 360 with other enterprise systems such as CRM, data warehouses, and external platforms. Work with APIs and data connectors for real-time personalization. Troubleshoot technical issues, perform root cause analysis, and provide timely & Stakeholder Management : Partner with marketing, analytics, and IT teams to ensure smooth execution of customer intelligence strategies. Provide training, knowledge transfer, and documentation to end-users and internal teams. Act as a subject matter expert (SME) for SAS CI 360 capabilities and best practices. Required Qualifications & Experience Bachelors/Masters degree in Computer Science, Information Technology, Statistics, or related field. 4- 6 years of hands-on experience in SAS CI 360 (Customer Intelligence 360) implementation and support. Strong expertise in campaign design, execution, and optimization. Experience in marketing automation tools, customer analytics, and audience segmentation. Proficiency with SQL, data manipulation, and ETL concepts. Solid understanding of digital marketing channels (email, web, mobile, push notifications). Familiarity with data modeling, customer journey mapping, and marketing KPIs. Good To Have Knowledge of cloud platforms (Azure, AWS, GCP) and SaaS-based marketing solutions. Exposure to Python, R, or other analytics tools for advanced customer modeling. Experience in API integrations and real-time decisioning engines. Certification in SAS CI 360 or SAS Marketing Automation. Soft Skills Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to manage multiple projects and stakeholders simultaneously. Proactive, detail-oriented, and adaptable to fast-paced environments (ref:hirist.tech)

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... A Business Transformation Consultant plays a crucial role in data analysts / Data scientist, ensures they effectively collect, analyze, and interpret data to drive business insights and decision-making. They shoulder the responsibility of the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer CX Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Data Analysis And Insights Generation Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualization tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving And Decision Support Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What We’re Looking For... You'll need to have: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Description: Analyst Consultant (Data, Excel, BI Reporting) Job Summary We are seeking a highly skilled and detail-oriented Analyst Consultant with 2 years of professional experience in data analysis, advanced Excel, and Business Intelligence (BI) reporting. The ideal candidate will possess strong analytical capabilities, a solid understanding of data visualization, and the ability to translate complex data into actionable insights to support business decision-making. Key Responsibilities Analyze and interpret large datasets to provide insights and recommendations. Develop, maintain, and optimize BI dashboards and reports (e.g., Power BI, Tableau). Utilize advanced Excel functions (Pivot Tables, VLOOKUP, INDEX-MATCH, Macros) to prepare and automate reports. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Identify trends, patterns, and opportunities in data to support strategic planning. Ensure accuracy, consistency, and integrity of data across reports and databases. Prepare detailed documentation and present findings to stakeholders. Required Qualifications Bachelor’s degree in Data Analytics, Statistics, Business, or a related field. 2 years of professional experience in data analysis and reporting. Proficiency in advanced Excel (including formulas, macros, and automation). Hands-on experience with BI tools such as Power BI, Tableau, or Qlik. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and presentation abilities. Attention to detail and a commitment to data accuracy. Preferred Skills Experience with SQL or other database querying languages. Knowledge of ETL processes and data warehousing concepts. Familiarity with statistical analysis tools (e.g., Python, R). Ability to manage multiple projects and meet tight deadlines.

Key Responsibilities Design and experiment with AI/ML models. Perform exploratory data analysis (EDA) and feature engineering on large, heterogeneous datasets. Perform data analysis and feature engineering. Validate models rigorously with cross-validation, A/B testing, and real-world data scenarios. Collaborate with product and engineering teams to translate business needs into models. Stay current with research papers, frameworks, and tools; propose innovation to improve model accuracy and efficiency. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks (e.g, TensorFlow, PyTorch). Proven experience in designing and implementing AI/ML models. Experience with exploration data analysis (EDA) and feature engineering on large, heterogeneous datasets. Familiarity with validation techniques such as cross-validation and A/B testing (ref:hirist.tech)

Position Summary Embark on a fulfilling career journey with BGH, where innovation meets compassion in healthcare. Join our dynamic team at the forefront of medical excellence, with a focus on Chemistry, Hematology, Transfusion Medicine, Microbiology, and Anatomical Pathology. Elevate your skills in our cutting-edge Point of Care department, where professionals like MLAs, MLTs, Senior MLTs, Charge MLTs, and PAs collaborate seamlessly. Embrace the excitement of 24/7 core lab operations, spanning days, nights, evenings, weekends, and STATs. Be part of our dedicated Microbiology and Histology teams, where your commitment to community care truly shines. At BGH, we're not just a workplace – we're a family, united by cohesiveness, professionalism, and a shared passion for making a positive impact. Join us in shaping the future of healthcare, where every day brings new opportunities for growth and success! Responsible to the Charge Technologist(s) in the Division(s) in which they are working and to the Lab Manager for performing phlebotomy and ECG tracings (site specific), as well as, preparing and organizing specimens for analysis and various duties in different divisions of the lab. Duties do not require interpretation, assessment or the exercise of independent judgment. Required EDUCATIONAL REQUIREMENTS: Successful Completion of an approved Laboratory Assistants training program and Certification with other professional organizations (i.e., CSMLS, OSMT). OR Technologist current registered with the College of Medical Laboratory Technologist of Ontario. Supervisory, verbal and written communication skills. Ability to organize, prioritize and meet deadlines. Students and new graduates actively pursuing certification are welcome to apply. Duties Blood Specimen Procurement Performs phlebotomy on Inpatients and Outpatients and BG Emergency. Implements good quality venipuncture - adult and paediatric. Implements good quality capillary collection – adult and paediatric. Maintains accurate patient identification and specimen labelling at all times. Recognizes suitability of specimens and the need for requests. Advises Technologists on Diagnosis, STATS, A.S.A.P, etc. Operates Lab computer – ordering test, logging specimen in, receiving, etc. ECGs - TMH Requires special training. Performs electrocardiograms (ECG). Responsible for good quality ECG tracings – adult and paediatric. Enters ECG into computer. Copies and dispenses ECG as required. Completes ECG process with special attention to Pre-Op ECG. Departmental Maintains pleasant and professional rapport with patients and other customers at all times. This key position has direct interaction with all the laboratories main customers, thus has a direct effect on laboratory reputation. Maintains good infection control practices. Helps with documentation and phone enquiries, as required. Assists with compiling statistics when necessary. Participates in quality assurance activities. Orientates and trains new staff/students. Assists in developing, reviewing and amending department policies and procedures. Prepare Hospital Incident Forms. Lab Tests/Set-Up – May Be Site Specific Prepares referred out specimens for appropriate outside labs for special testing and documents as required. Prepares specimens for shipment to QHC Laboratories as required. Performs inventory. Performs temperature readings. Change charts. Packaging and unpacking blood. Stocking POCT refrigerator. Maintenance (centrifuge, tachometers, timers, etc.). Sorts, centrifuges and distributes laboratory specimens entering the Laboratory. Maintains good quality sterile techniques. May place specimens on Hematology, or Biochemistry, analysers with special training. Assists with send outs. Assists with sample separating (centrifuging). Assists with worksheets. Assists with units Haematology May place specimens on analysers after special training. Chemistry Assists with aliquoting and identifying Assist with the setup of tests (eg. drugs screens, pregnancy). May place specimens on analysers after special training. Performs urinalysis (excluding microscopic). Microbiology (Site specific) Receives all microbiology samples. Answer phone calls and transfer to MLT as required. Plating microbiology samples and cultures as required. Restocking microbiology supplies. Subculture QC organisms. Equipment maintenance. Discard microbiology samples once complete. Construct Public Health kits. Equipment/Supply Procurement/Maintenance Troubleshoots problem with ECG, Holter, and Events machines and calls for service when required. Obtains weekly order from stores and organizes and puts order away. Keeps supply of Kleenex, Javex and towels, etc. in each division. Maintains and cleans blood taking room and ECG room. Assists with general maintenance and clean up of equipment and instruments. Assists with housekeeping and glassware washing. Safety Maintains a safe environment by: Following established safety, WHMIS, infection control and waste disposal policies. Maintaining a clean and organized work area. Cleaning phlebotomy trays. Keeping equipment cleaning records (eg. ECG). Weekly cleaning and minor maintenance of ECG machines. Follow infection control policies eg. Isolation, universal precautions. Working with needles and blood requires special care - all staff are to use safety equipment supplied and specified gloves, goggles, safety devices, lab coats, etc. Minimizes risks to self, other staff, patients and visitors through: Familiarity with policies and procedures regarding safety. Attendance at safety training including fire safety, back care and W.H.M.I.S. training. Reporting of hazards and incidents. Related Duties Contributes to Department by performing related tasks as required. Maintains patient confidence and protects Health Centre operations by keeping information confidential. Maintains skills/knowledge by attending educational sessions and keeping informed of Health Centre policies and procedures. Models QHC Vision and Values At Quinte Health, guided by our core values of Imagine It's You, Value Everyone, We All Make a Difference, and Stronger Together, our family of four hospitals holds a central role in the mission to enhance lives and foster healthier communities. We operate as a cohesive team, uniting all our hospitals, to deliver local and regional healthcare services. In partnership with our communities, we strive to improve access to high-quality care, right in their own neighborhoods. Our sense of fulfillment is deeply rooted in the impactful work we do, a sentiment shared by our dynamic teams of staff, dedicated physicians, and committed volunteers. They not only care passionately for our patients but also for each other, embodying our core values at every turn. We don't just serve our communities, we actively contribute to them. Quinte Health is woven into the fabric of our local landscape, with our team members residing, raising their families, and often retiring right here in the communities they cherish. We are on a constant lookout for compassionate and dedicated individuals to join our team. Our diverse array of exciting roles encompasses positions that span multiple hospitals, as well as opportunities situated within a single hospital. Join us as we live out our values in providing exceptional healthcare close to home Physical Demands Analysis Physical Requirements Able to communicate and respond clearly on the telephone and face-to-face. Able to sit 2-6 hours per day at a computer table or bench. Able to stand and/or walk 3-5 hours a day. Able to lift no greater than 28 pounds on an occasional basis. Frequent bending or leaning depending on section of Laboratory where working. Able to work at a moderate pace maintaining accurate results. Must be able to see objects close up, reading requisitions, computer screens. Must be able to distinguish between colors, depending on section of Laboratory where working. Must have good manual dexterity. Mental Requirements Able to concentrate on details despite frequent interruptions. Attention to detail is essential. Able to follow both written and oral directions and remember in detail daily requirements and routine. Able to comprehend and utilize written materials. Able to cope with a high paced, sometimes high stress, work environment. Able to interact positively with a variety of individuals from various socio-economic backgrounds. Equal Opportunity We thank all interested candidates for their response, however, only those chosen for an interview will be contacted. Quinte Health is an equal opportunity employer committed to meeting needs under the Canadian Charter of Rights and Freedom and the Ontario Human Rights Code. Our Recruitment process follows the Accessibility for Ontarians with Disabilities Act in order to provide a fair and equitable process for all candidates. Applicants requiring accommodation through the recruitment/interview process are encouraged to contact the Human Resources Department at 613-969-7400 x2577 or

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. We're a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We're looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you're ready to build the global programs and tools that fuel the power of online learning, join Team Coursera. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We are seeking a highly skilled and collaborative Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping our consumer strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, KPI development and monitoring, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform consumer strategies, product development, enhance user experience, and drive engagement across various segments. Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams, you will ensure that data informs every aspect of business decision-making. Responsibilities: Build and automate relevant KPIs to report on business performance. Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders. Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis. Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement. Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience. Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions. Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders. Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions. Basic Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field. 4-6 years of experience using data to advise product or business teams, with a focus on product analytics. Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy). Knowledge of data pipeline development and best practices in data management. Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies. Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed. Excellent business intuition and project management abilities. Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives. Preferred Qualifications: Familiarity with the educational technology sector, specifically with platforms like Coursera Experience with Airflow, Databricks and/or Looker Experience with Amplitude If this opportunity interests you, you might like these courses on Coursera: Go Beyond the Numbers: Translate Data into Insights Applied AI with DeepLearning Probability & Statistics for Machine Learning & Data Science Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... A Business Transformation Consultant plays a crucial role in data analysts / Data scientist, ensures they effectively collect, analyze, and interpret data to drive business insights and decision-making. They shoulder the responsibility of the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer CX Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Data Analysis And Insights Generation Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualization tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving And Decision Support Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What We’re Looking For... You'll need to have: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Description Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein dune organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers lavenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de lautonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences daujourdhui et de demain. Job Summary Fiche de poste : This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications Bachelor’s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Job Details Role Level: Mid-Level Work Type: Full-Time Country: India City: Chennai ,Tamil Nadu Company Website: https://about.ups.com/ Job Function: Engineering Company Industry/ Sector: Truck Transportation What We Offer About The Company Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand. Report Similar Jobs Consultant - Data Engineering Talentmate Consultant Manager - Data Engineering Talentmate Billing - IBM GD Hiring - Senior Applications Developer Talentmate Systems Support Engineer Replacement For Saranya Bala Krishna - IS Ops Talentmate HR Service Delivery Senior Analyst Talentmate Security Advisor Talentmate Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Content Research Selected intern’s day-to-day responsibilities include: Research industry-related topics (trending news, keywords, competitors). Collect facts, statistics, and references to support written content. Writing & Drafting Write blog posts, website content, product descriptions, or social media captions. Draft email content, newsletters, or promotional copy if needed. Editing & Proofreading Review and edit content for grammar, clarity, and tone. Check for SEO optimization (if trained to do so). SEO Basics Apply keywords naturally in writing (under guidance). Learn to use tools like Yoast, Google Trends, or basic keyword research platforms. Content Scheduling/Uploading Upload or format content on platforms like WordPress, Notion, or Google Docs. Schedule posts (if working on social media or blog publishing). Collaborating With The Team Attend briefings or brainstorming sessions with the content or marketing team. Take feedback and revise content accordingly. Learning & Skill Development Participate in training sessions, read style guides, or follow writing best practices. Keep track of writing progress and personal improvement. Admin Tasks Maintain an editorial calendar or task checklist. Organize content drafts and documentation for easy access. About Company: We are a dedicated team of passionate product managers, full stack developers, UX/UI designers, QA engineers, and marketing experts helping businesses of every size, from new startups to public companies, launch their projects using our software.