Master of Engineering Management at Northwestern University’s Post

Data Science Career Insights from a Google Data Science Leader! I recently had the opportunity to converse with a seasoned data scientist with 10+ years of experience in the industry. She is the first data science professional I have met, who has been in the data science domain throughout her professional career! So listen carefully and read till the end for the opportunity to connect with DS Leader at #Google! Thank you, Manisha Arora for the insights. Career Background: Manisha currently leads the data science team at Google Ads, where her team focuses on building solutions in ad measurement for the largest advertisers. She leverages AI/ML and Experimentation to build scalable solutions that drive ad insights. To improve callbacks: ⭐ Targeted applications #Data Science is a broad domain with multiple titles such as applied scientist, product data scientist, research scientist, ML engineer, and more. Understand which role you want to pursue for long-term career growth and focus your efforts there. Manisha has a detailed blog on various DS roles and their skills, which is a must-read: https://lnkd.in/dyMTdt56 Additional tip from Me: If you have experience across different roles - build a resume for each. This way you can focus on both quality and quantity of applications! ⭐Recruiter connect Most large tech companies have specialized recruiters for various roles/levels. If you are a new grad, reach out to a University Recruiter. If you are an experienced professional, reach out to a Analytics/Data Science recruiter. To land your next role: Solid technical skills are table stakes to build a career in data science. The key ones to focus on are - ⭐Programming: Have a solid understanding of #SQL and #Python (#pandas). For DSA - knowledge of arrays, strings, and dictionaries is a must. ⭐#Statistics & AB Testing The ability to design statistically robust experiments and perform causal analysis to narrow down the impact of product changes is extremely important ⭐Machine Learning Focus on understanding core concepts - converting problem to #ML formulation, knowing the model assumptions, which model/metric to use when, gathering and cleaning data, and finally leveraging #data to solve business challenges. How to Stay Relevant? It is important to upskill yourself as the industry is going through a major shift in AI. To learn how you can upskill yourself and stay relevant in the industry, check out this Lightning Lesson, where Manisha will be talking about the latest trends and sharing key resources. https://lnkd.in/dbTC6r3V #datascience #hiring #dataanalytics #machinelearning #interviewprep

Here are 10 key skills required to be data scientist /data analyst. 1. Programming: Proficiency in languages like Python or R is essential for data manipulation and analysis. 2. Statistics: Understanding statistical concepts helps in making informed decisions and drawing meaningful insights from data. 3. Machine Learning: Knowledge of algorithms and techniques to build predictive models is crucial in solving complex problems. 4. Data Visualization: Creating compelling visual representations of data helps in effectively communicating findings. 5. Problem-Solving: Being able to approach problems analytically and devise innovative solutions is a valuable skill. 6. Communication: Clearly conveying complex ideas and findings to both technical and non-technical audiences is important. 7. Domain Knowledge: Having expertise in the industry or field you're working in enhances your ability to interpret data. 8. Data Wrangling: Cleaning and transforming data to ensure its quality and usability is a fundamental skill. 9. Big Data Technologies: Familiarity with tools like Hadoop and Spark enables handling large datasets efficiently. 10. Continuous Learning: Staying updated with the latest advancements in data science is crucial for professional growth. These skills will help you excel as a data scientist and tackle real-world challenges. #hiring #dataanalytics #unpaidinternship

What Is a CDS Data Science News Byte? The Faculty of Computing & Data Sciences editorial team is dedicated to uplifting data science news and information. When we see it, we share it. In this News Byte via Fortune's Preston Fore: Data science is booming. Here are some of the places hiring entry-level employees: Tech data science jobs: ✅ IBM ✅ Meta ✅ Amazon ✅ Walmart ✅ Capital One ✅ TikTok ✅ Microsoft ✅ Google Check out the complete list and read the story: Kappa Theta Pi - Lambda Chapter

🔍👀 In search for "Data Scientist/Machine Learning Engineer" Responsibilities: - Predict missing data from the large data set already provided - Predicting patterns from other POS systems and match with given database - Scrapping and formatting products details from web, data sets and multiple sources - Formatting the scrapped data as per database If this is something that you do on day to day basis ----------------------- Job update! (04/18/2024) Please apply at the below link for the Data Science Intern role: https://lnkd.in/dYGqCakj **Applicant must be resident or graduated from the State of Maryland ------------------------ #datascientist #machinelearning #mlengineer #artificialintelligence #aiml #projectmanagement #hiring #recruiting

📢 Exciting News: Google is hiring Data Scientists in Bangalore! 🌟✨ 📍Location: Bangalore, India 🎓Qualification: Master's degree or PhD 🎓 💼Experience: Freshers 💼 📅Batch: Recent Batches 📅 💰Salary: ₹ 22.4 to ₹ 54 Lakh Per Year (Expected) 💰 🌟 Imagine working at one of the most innovative companies in the world, right here in Bangalore! 🌍✨ At Google, your skills and knowledge will be valued like never before. They're seeking passionate individuals who possess a Master's degree or a PhD in the field of data science. 🧪📊📚 📅 If you recently graduated or are about to, this is your chance to shine! Google values the fresh perspective that new graduates bring to the table. 🎓💪 💰 The salary offered is more than competitive, ranging from ₹ 22.4 to ₹ 54 Lakh per year, based on expectations. 🤑💵 🌟 Joining the Google team is not just a career choice; it's a life-changing opportunity. Dive into the world of breakthrough technologies, collaboration, and endless growth potential. 💥🚀 ⏬ Apply here: https://bit.ly/3TG9oLc ⏬ Join Telegram For Daily Latest Job Updates: https://lnkd.in/ewzVwV8K 📌 Note: Make sure to send me a connection request and drop a comment. Profiles will be star shortlisted starting today. ((👍 Make sure to hit the like button and drop a comment 👇)) ✅ Comment #INTERESTED for profile review. ✅ Comment #YES to reach maximum job seekers. 🔍 Don't forget to share this post with your friends who might be interested! Spread the word and let's help each other reach for the stars. 🌠 #Google #Bangalore #DataScientist #DreamJob #OpportunityKnocks #NewBeginnings #FreshersWelcome #CareerGrowth #Innovation #LifeAtGoogle #JoinTheTeam #ExcitingTimes #MarkYourCalendar #ApplyToday #WorkWithTheBest #TechIndustry #LimitlessOpportunities

🚀 Attention students and recent graduates interested in Software Engineering and Data roles 🌟 Exciting news from TikTok: Data Scientist Graduate (Global E-Commerce-Data Science-AMS Data Science) - 2025 Start (BS/MS) Haven't applied yet? Drop your email below, and I'll send you direct links to all available opportunities! Or, fill out this questionnaire, and I'll provide you with daily updates on open positions tailored to your job search direction.https://https://lnkd.in/gHjUQx2b Stay tuned for daily updates. Follow me for the latest opportunities! (Note: Please comment with your email only. For questions, feel free to ask separately!) #tiktok #us #Libaspace #SDE #Data

Data science is booming. Here are some of the places hiring entry-level employees In fact, data scientist careers in particular are the third fastest growing occupation in the entire country–just behind nurse practitioners and wind turbine service technicians, according to the U.S. Bureau of Labor Statistics. Actually obtaining a data science job can oftentimes be easier said than done. Many companies desire talent who are prepared to tackle complex tasks on day one, which, in some cases, may call for years of education and work experience. But, on the other hand, because data is becoming increasingly critical in making business-related decisions, filling data-related positions is essential for employers.  Fortune’s career guides in data scientists and data analysts—as well as its broader coverage on how to get a job in data science—are great resources for those looking to get ahead in the data science field. One important step toward getting into data science is actually finding the right companies and positions—something that can be especially challenging for those who don’t even know where to start. Fortune has you covered with some of the entry-level data science opportunities out there. Diversify your search For those just starting out, it may be challenging to begin with a fully-fledged full-time data science position, especially without any past experience or connections. Above all, start doing your research sooner rather than later. Many top tech and consulting firms in particular tend to hire far in advance (months and even sometimes years)—especially for its entry-level programs.   The list below is not exhaustive, but it may put some ideas into your head of where you can start your career in data science. Exploring job posting websites like LinkedIn, Indeed, Handshake, and Dice could very be helpful (and provide you with a larger collection of potential opportunities). Tech data science jobs IBM Meta Amazon Walmart Capital One TikTok Microsoft Google Government data science jobs USAJobs  Air Force National Institutes of Health (NIH) Internal Revenue Service (IRS) Intelligence Careers National Security Agency (NSA) Consulting data science jobs Deloitte McKinsey Booz Allen Accenture Other data science jobs Schools and universities (including community colleges) Healthcare CVS Health

🚀 Join Us as a #Data #Scientist Intern (Remote | 2 Months) 🚀 Are you passionate about data, eager to solve real-world problems, and looking to kickstart your career in Data Science? Here's your chance to dive into exciting projects, work alongside industry experts, and make a real impact from day one! 🌟 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩? At Technocolabs Softwares we tackle complex problems across various industries, using the latest data science and machine learning techniques. As a Data Scientist Intern, you'll get hands-on experience in building, training, and deploying models while sharpening your skills in real-world projects. 📝 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: As a Data Scientist Intern, you will: 1. Work on cutting-edge data science projects that solve real business challenges. 2. Collaborate with senior data scientists and business stakeholders to define and refine problem statements. 3. Collect, clean, and preprocess large datasets from various sources. 4. Build and evaluate machine learning models (classification, regression, clustering, etc.). 5. Generate actionable insights and present findings through data visualizations and dashboards. 6. Contribute to the optimization of data pipelines and automation processes. 7. Experiment with advanced algorithms (NLP, time-series forecasting, deep learning) to enhance business operations. 📋 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: 1 Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related fields. 2. Strong programming skills in Python (Pandas, NumPy, Scikit-Learn, etc.). 3. Knowledge of data visualization tools like Tableau, PowerBI, or Matplotlib. 4. Excellent communication skills to explain complex topics to non-technical stakeholders. 5. Problem-solving mindset.    𝐁𝐨𝐧𝐮𝐬: - Familiarity with cloud platforms (AWS, GCP, Azure) or big data technologies (Hadoop, Spark) is a plus. 💼 𝐏𝐞𝐫𝐤𝐬 & 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬: 1. Fully remote—Work from anywhere, with flexible hours that suit your schedule! 2. Mentorship & Guidance from experienced data scientists to enhance your learning curve. 3. Real-world projects that add significant value to your portfolio. 4. Opportunity to network with industry professionals and expand your career prospects. 5. Potential for full-time job offers based on performance. 🚀 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰 If you're ready to gain valuable experience and make a real impact, Apply now by sending your resume to technocollabs@gmail.com. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫𝐦: Interested candidates, please fill out the below application form: https://lnkd.in/dvFcH8qJ 𝐨𝐫 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: contact@technocolabs.com +91 8319291391 Let’s turn data into insights—together! 💡 #DataScienceIntern #InternshipOpportunity #RemoteInternship #DataScientist #MachineLearning #Python #AI #DataAnalysis #SQL #TechCareers #CareerGrowth #LearningOpportunity #RealWorldProjects #JobOpportunity #TechInternships #DataDriven #technocolabs #hiringinterns

In an ever-evolving job market, it's crucial for graduates to stay ahead of the curve and pursue careers that not only match their interests but also offer long-term stability. As technology continues to shape industries and the global workforce, certain professions are emerging as highly sought-after positions. In this blog post, we'll explore the top 10 in-demand graduate jobs for the future, providing insights into the skills and qualifications required for success in these exciting career paths. 1. Data Scientist Data scientists play a critical role in analyzing and interpreting vast amounts of data to drive data-driven decision-making in various industries. With the increasing importance of data-driven insights, the demand for data scientists is expected to skyrocket. To excel in this field, graduates should acquire skills in data analysis, machine learning, and programming languages like Python and R. Full article in comments below 👇 #gradjobs #london #futureofwork

Shifting to Data Science: The Best Career Choice for a Bright Future In today's digital era, shifting your career to data science can be one of the best decisions you make for a rewarding and prosperous future. Let’s explore why transitioning into data science can gift you a better life. 🗂Why Choose Data Science? 📈High Demand and Lucrative Salaries: Data science professionals are in high demand across industries such as healthcare, finance, marketing, and technology. This high demand translates into lucrative salaries and excellent job security. 👨💻Diverse Career Opportunities: With skills in data science, you can explore various roles including Data Analyst, Machine Learning Engineer, Data Engineer, and more. These roles offer the potential to advance into leadership positions over time. 📊Continuous Learning and Growth: The field of data science is dynamic and ever-evolving. This ensures that you will have continuous opportunities to learn new skills and stay ahead in your career. 💡 Benefits of a Career Shift 🌊Embrace a New Challenge: Transitioning to data science allows you to leverage your existing skills and apply them in a new, exciting field. Whether you come from engineering, economics, humanities, or another background, data science welcomes diverse perspectives. 💁♀️Extensive Learning Resources: Numerous online courses, bootcamps, and certification programs are available to help you gain the necessary skills to succeed in data science. These resources provide a structured pathway to make your career shift smooth and effective. ❄Strong Community Support: The data science community is vibrant and supportive, offering numerous forums, meetups, and mentorship opportunities to help you navigate your new career. 🌈Global and Indian Opportunities ✨Expansive Job Market: Data science offers immense job opportunities both in India and globally. Cities like Bengaluru and Hyderabad in India, as well as international tech hubs like San Francisco and London, are thriving with data science jobs. 💸Attractive Salary Trends: The talent shortage in data science ensures attractive salaries and rapid career growth. As you gain experience, your earning potential continues to rise, offering you a secure and prosperous future. Shifting your career to data science can be a transformative decision, offering you high demand, lucrative salaries, diverse opportunities, and continuous growth. Embrace this exciting field and gift yourself a bright and rewarding future. #datascience #careerchange #techcareers #bigdata #dataanalytics #futurejobs #techtrends #careergrowth #newbeginnings