Squarespace’s Post

🚀 NEW ROLE - REMOTE - DATA SCIENCE MANAGER 🚀 📎The role:  ⭐️Data company: Our core product offering depends on best-in-class models and data to drive insights for our customers. ⭐️High impact: Manage our essential data science models around sales estimates and keyword search volume, driving the core value of our products. Lead R&D for new models. ⭐️Leadership: Lead a team of data scientists and ML engineers, advancing data science practices at Jungle Scout. 🕵Looking for someone who: ⭐️Has experience managing the full model lifecycle, from conception to production at scale. (Note: Experience building offline models for clients or internal stakeholders isn’t what we are looking for). ⭐️Can write SQL queries and build notebooks to analyze data and models. ⭐️Has led senior data scientists and ML engineers. (Note: If you’ve only managed DS, that won’t work for this role unless they were doing MLOps work). 🔥Why you might like it here: ⭐️Work at the heart of our business with a direct impact on customers. ⭐️Embrace innovation and new methodologies. ⭐️Plus, we’re remote-first (and staying remote-first), offering great flexibility. Our Director of Engineering, Sam Johnson dives into a little more of what we are working on here at Jungle Scout in this video. Interested or know someone who might be? 👇 APPLY HERE: https://lnkd.in/g6QPUsyJ

‼️ Expedia Group is hiring for Data Engineer ‼️ Link to apply : https://lnkd.in/gkZFR7Ns 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐟𝐨𝐫 2024: 🚀 STEP 1: The Basics: 1. 📚 Learn #SQL: SELECT, FROM, WHERE, GROUP BY, JOIN, HAVING, etc 2. 🐍 Learn #Python: Learn data structures and algorithms: array, dictionaries, recursion, string & array manipulation, loops. 3. 🔥 Learn #Pyspark: Functions like sparkSession, Read, filter, groupBy. STEP 2: Intermediate : 1. 🌪️ Learn #Airflow 2. 🛢️ Learn #data #lake architecture & concepts. 3. 🌟 Advanced SQL: Window functions, CTEs, Nested queries, Solving SQL problems using self-joins. STEP 3: Advanced : 1. 🚀 Learn #data #modelling techniques: one big table vs kimball vs Inmon vs data vault techniques 2. 🧠 Understand #spark architecture: How Spark does the processing in a scalable manner. 3. #Spark optimization: Predicate Pushdown, partitioning, broadcast, cache&persist, shuffle, Parallelism, Repartition&Coalesce I know this can be too much to grasp at a time. You can use the "Save post" option on linkedIn for easy reference. 🌐 Do visit my medium blog for a detailed roadmap!! 🔗 Follow: Nitesh Chaudhry #hiring #data #dataEngineering

Nice tips for your Data Engineering Interview!

Hiring Alert: Lead Data Engineer at Loyalytics AI 🚀 Are you a data engineering rockstar ready to tackle real-world problems and shape the future? We’re a young, energetic tech company looking for a hands-on leader to spearhead our data engineering team. This is no ordinary data gig. You’ll be deep in the trenches building pipelines, wrestling with exciting challenges, and seeing the direct impact of your work on a growing company. Forget jargon like “visionary” and “high-performing.” We value people who get things done, roll up their sleeves, and love to learn. What You’ll Get: 🤝 No corporate BS: Be part of a collaborative, down-to-earth team where your voice matters. 📊 Constant learning: Dive into fresh challenges, cutting-edge tech, and real-world problems that push your limits. 📈 Career growth at warp speed: We invest in our people. Shape your own path and grow with us as we scale. 💼 Rewards that rock: Enjoy a competitive salary and benefits that reflect your awesomeness. What You’ll Do: 🚀 Lead a data engineering team: You’ll find, hire, and mentor data ninjas, building a dream team to conquer challenges together. 🏰 Craft a data fortress: Design and build a rock-solid, secure data infrastructure that scales with our growth. 📊 Data flows like magic: Build and automate bulletproof data pipelines to keep the information flowing smoothly. 🔒 Data governance ain’t boring: Make data trustworthy and secure by setting clear rules and keeping everyone on the same page. 💬 Speak all the languages: Collaborate with business, data scientists, and other teams to understand their needs and deliver solutions. 🎓 Stay ahead of the curve: Be a tech-savvy sponge, constantly learning and experimenting with new tools and ideas. Requirements: Experience: 5+ Years in Data Engineering Bonus Points: 🎖️ Been down the Engineering road? Share your battle scars and wisdom. 🌐 Open-source rockstar? We love contributors who give back to the community. 🔍 If you’re a data engineering leader who thrives in a fast-paced, hands-on environment, we want you! Join us and build something amazing! If you are interested we would love to know more and have a chat. Apply in the link in comments below (takes less than 5 minutes). #LeadDataEngineer #AnalyticsConsulting #TechJobs #DataEngineering #Loyalytics #HiringNow

Need a Full Stack Developer and Data Scientist? Let's Talk! Hey everyone! If you are looking for someone who can build robust web applications and turn data into actionable insights, I am here to help. I specialize in: - Full Stack Development: Developing both front-end and back-end systems, creating responsive interfaces, ensuring high performance, and integrating APIs. - Data Science: Analyzing complex data sets, building machine learning models, and creating visualizations that make data easy to understand. Whether you need help with a one-time project or ongoing support, I can tailor my services to meet your needs. Let's connect and see how we can work together to bring your ideas to life and make your data work for you! #FullStackDevelopment #SoftwareEngineering #WebDevelopment #DataScience #MachineLearning

Data science skills? Check out this opportunity to contribute your talent to helping colleges fulfill their missions. (and, quite shamelessly, I am super amped that my name appears in the article linked in the job ad)

#hiring *Sr Data Scientist - Recommendations (Applied ML, Deep Learning, Relevance Systems)*, Minneapolis, *United States*, fulltime #jobs #jobseekers #careers #Minneapolisjobs #Minnesotajobs #ScienceTechnology *Apply*: https://lnkd.in/giyd5sHx Job Description Location: 1000 Nicollet Mall, Minneapolis, Minnesota, United States, (phone number removed) The pay range is $92,000.00 - $(phone number removed) Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at (url removed). JOIN US AS A SR DATA SCIENTIST - RECOMMENDATIONSAbout Us: As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together.Every time a guest enters a Target store or browses (url removed), they experience the impact of Target's investments in technology and innovation. We're the technologists and data scientist behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests-and we do so with a focus on diversity and inclusion, experimentation and continuous learning.As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understandi

Interesting read on the Data Science hiring market and projected growth areas. I have helped many hiring leaders identify Data Scientists, Engineers, Architects and Analysts with deep ML & DL, Data Visualization, Big Data, Data Wrangling, and Python experience. If you are expecting growth in the 2nd half of this year, need to fill a gap or tackle a project, let's chat. If you don't already have my contact info, send me a message here. Article by 365 Data Science https://lnkd.in/dgAXfuan

Senior Data Scientist(UA) Salary Min: 4500 USD Salary Max: 6000 USD Job Position Type: Remote Job Type: Contract Languages Required: English B2+ Job Description: we are revolutionizing the way we deliver solutions to our customers by leveraging advanced AI technologies. We are seeking a Senior Data Scientist to join our team and drive impactful decisions through innovative data analysis and algorithm development. Responsibilities: Analyze retail data to derive insights and inform pricing strategies. Develop and prototype algorithms for pricing and demand prediction. Test and monitor algorithm performance, iterating as necessary. Engage in product development, including discovery calls with end users and collaboration with UX/UI teams. Communicate developed algorithms effectively to business stakeholders. Collaborate closely with a cross-functional team (Software Engineer, Product Manager, Data Scientist) in an agile environment. Work with the Product Manager to ensure the pricing solution aligns with SMB sellers' needs and the overall product vision. Take ownership of features or components within the pricing solution, from conception to deployment. Stay updated on pricing optimization, data science best practices, and relevant domains to enhance product competitiveness. Requirements: Minimum 5 years of experience in data science or a related field. Proficiency in SQL for data manipulation and extraction. Strong Python skills with experience in scientific toolkits (NumPy, pandas, scikit-learn) and either Keras/TensorFlow or PyTorch. Solid mathematical background, preferably in Computer Science. Familiarity with Time Series Forecasting approaches. Experience in statistical testing methodologies, including A/B testing. Experience with tabular and mixed data (e.g., text, audio, images) for at least 3 years. Strong knowledge and experience with Bayesian Models, Reinforcement Learning Models, or Causal Models. Upper-intermediate English proficiency. Soft Skills: Analytical mindset with strong critical thinking abilities. Agile approach and capability to experiment in an unstable business environment. Ability to translate complex models into business language. Excellent presentation skills for communicating complex ideas. Curiosity and commitment to continuous learning. Strong team player, adaptable, proactive, and resilient. Customer empathy with an understanding of SMB sellers' needs and challenges. Why You’ll Love It: Rich innovative software stack with freedom to choose the best technologies. Remote-first ideology with flexible working hours and no time tracking. Regular performance and compensation reviews. Recurrent 1-1s and measurable OKRs. In-depth onboarding with a clear success track. Competera covers 70% of your training/course fees. 20 vacation days, 15 days off, and up to one week of paid Christmas holidays. 20 business days of sick leave. Partial medical insurance coverage. Reimbursement for coworking costs

#hiring *Sr Data Scientist - Recommendations (Applied ML, Deep Learning, Relevance Systems)*, Minneapolis, *United States*, $166K, fulltime #jobs #jobseekers #careers $166K #Minneapolisjobs #Minnesotajobs #ITCommunications *Apply*: https://lnkd.in/g5sns5DP Location: 1000 Nicollet Mall, Minneapolis, Minnesota, United States, The pay range is $92,000.00 - $165,600.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at . JOIN US AS A SR DATA SCIENTIST - RECOMMENDATIONS About Us: As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together. Every time a guest enters a Target store or browses they experience the impact of Target's investments in technology and innovation. We're the technologists and data scientist behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests-and we do so with a focus on diversity and inclusion, experimentation and continuous learning. As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probabi