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application analyst (power platform & ai focus)

data scientist

Artefact

<div>
 
 
 About us:
 
 
 
 Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Data Quality Analysis &amp; Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
 </li>
 <li>
 Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like
 
 Power BI
 
 to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong proficiency in data analysis tools and languages, particularly
 
 SQL
 
 for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R&rsquo;s tidyverse) is highly valuable.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary &ndash; beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Familiarity with business intelligence and visualization tools, especially
 
 Power BI
 
 , to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Excellent communication skills, both written and verbal, with the ability to explain data findings in layman&rsquo;s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.
 </li>
 </ul>
 
 
</div>

Data Scientist

Quantiphi

<div>
 
 
 Designation:
 
 Senior Data Scientist
 
 
 
 Experience level:
 
 8 to 15 years
 
 
 
 
 
 
 Skills - Required:
 
 
 <ul>
 <li>
 Knowledge of statistical modelling and popular machine learning models.
 </li>
 <li>
 Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
 </li>
 <li>
 Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
 </li>
 <li>
 Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
 </li>
 <li>
 NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
 </li>
 <li>
 Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
 </li>
 <li>
 Feature engineering, Feature selection/Feature importance, Dimensionality.
 </li>
 <li>
 Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
 </li>
 <li>
 Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
 </li>
 <li>
 Critical eye for the quality of data and strong desire to get it right.
 </li>
 <li>
 A pleasantly forceful personality and charismatic communication style.
 </li>
 </ul>
 
 
 
 
 
 Skills - Nice to Have:
 
 
 <ul>
 <li>
 Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
 </li>
 <li>
 Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
 </li>
 </ul>
 
 
 
 
 
 Your Job will require:
 
 
 <ul>
 <li>
 Ability to multitask and work on multiple engagements related to different domains.
 </li>
 <li>
 Be able to pick up newer technologies in a short span of time
 </li>
 <li>
 Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
 </li>
 <li>
 Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
 </li>
 <li>
 Follow Agile standards and methodologies in all phases of the project.
 </li>
 <li>
 Ensure excellence in delivery to customers
 </li>
 <li>
 Self-driven individuals with a passion for research and development and the zest for solving what matters.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 <ul>
 <li>
 The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
 </li>
 <li>
 The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
 </li>
 <li>
 The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
 </li>
 <li>
 An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
 </li>
 </ul>
</div>

Senior Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Hamad Medical Corporation

<div>
 
 
 Job Summary
 
 
 
 The purpose of this role is to review, critically appraise, and strategically analyze health care information that has been extracted from digital systems by data technicians and compiled by Data Specialist. This is to provide intelligence that enables evidence-based decision making. They will be required to present complex information from a variety of information sources (e.g. quantitative, qualitative, and epidemiological) to executive level staff in a way that conveys the results clearly and concisely. In order to do this, they must maintain a strategic perspective while working with detailed information. This will be through the analysis of trends, statistical reports, conversations and facilitation of discussions with key stakeholders and the application of a range of analytical techniques.
 
 
 
 Key Accountabilities
 
 
 
 1. Provide intelligence through the collation, complex analysis and critical appraisal of health care information using proven analytical techniques.
 
 
 2. Study and highlight the implications of trends in HMC activity taking account of applicable local; national and international practice.
 
 
 3. Interprets findings, prepares standard and ad-hoc reports and delivers results to management and/or other leaders
 
 
 4. Leads programs and supports analytical projects.
 
 
 5. Oversees projects/programs and analyses large sets of data to extract actionable insights that will help drive decisions across the business.
 
 
 6. Develop and implement procedures/policies for effective data management. 7. Make sure that data collection procedures are in line with all relevant rules and guidelines.
 
 
 8. Develop and maintain a system-level picture of activity to support detailed analysis on specific focus areas.
 
 
 9. Extend /modify analysis based on knowledge of the information and its limitations. 10. Overseeing the integration of new technologies and initiatives into data standards and structures.
 
 
 11. Continually develop data management strategies.
 
 
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s Degree in Business, Statistics, Information Technology (IT) OR Engineering
 
 
 
 Experience
 
 
 
 8 years&rsquo; experience in data management out of which 4 years in healthcare related field
 
</div>

Senior Data Specialist

Vistas Global

Statistical Reports ExpertWe are seeking an experienced Statistical Reports Expert to join our team. The ideal candidate will have strong skills in data analysis, reporting, and organizational studies, with the ability to provide insights that support strategic decision-making.What You&rsquo;ll Do:<ul><li>Analyze complex datasets and present results in clear, actionable reports.</li><li>Design and maintain dashboards, reports, and visualizations to support decision-makers.</li><li>Collect, validate, and process statistical data for accuracy and consistency.</li><li>Support organizational projects through research, analysis, and performance monitoring.</li><li>Prepare periodic and annual statistical reports, ensuring clarity and accuracy.</li><li>Provide recommendations for process improvements using modern tools and methods.</li></ul>What We&rsquo;re Looking For:<ul><li>Bachelor&rsquo;s, Master&rsquo;s, or PhD in Statistics, Data Science, or Mathematics.</li><li>At least 10 years of relevant experience in statistical analysis and reporting.</li><li>Proficiency in tools such as SPSS, R, Python, Power BI, and Tableau.</li><li>Strong Excel and PowerPoint skills.</li><li>Bilingual proficiency (Arabic and English) preferred.</li><li>Ability to simplify complex data and present insights clearly.</li></ul>Why Join Us?<ul><li>Be part of exciting projects that involve organizational analysis and data-driven decision-making.</li><li>Work with a professional team in a dynamic and supportive environment.</li><li>Opportunity to use advanced analytical tools and develop innovative reporting solutions.</li></ul>Job Type: Full-timePay: QAR20,000.00 - QAR30,000.00 per monthApplication Question(s):<ul><li>Do you accept the salary bracket provided (20,000 QAR - 30,000 QAR)?</li></ul>Education:<ul><li>Doctorate (Required)</li></ul>Experience:<ul><li>Statistical Reports: 10 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>

Statistical Reports Expert

Explore 535+ Data scientist in Doha this October. Find roles across top companies and apply now to boost your career.