Stonewall Collision & Auto Painting

Senior Data Scientist

Senior Data Scientist needed with 5-7 years of experience in Big Data, Business Intelligence, Data warehousing, Artificial Intelligence, and Machine Learning.  Responsibilities include designing and deploying analytical systems, utilizing machine learning algorithms (classification, clustering, association, recommendation generation), and working with various tools (R, Python, Java, RapidMiner, SAS, IBM, MongoDB, Cassandra, Hadoop, Spark, Oracle, SQL Server, AWS, Azure). Strong problem-solving, communication, and programming skills are essential.  Experience with statistical inference and BI tools (Tableau, Oracle, IBM, Microsoft) is required. The role involves creating production-grade solutions for end customers.

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 <ul><li>A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters)</li><li> Total of 5-7 years of Big Data, Business Intelligence, Data warehousing, Artificial Intelligence and Machine Learning experience</li><li> At least 2 years of experience in data science in rolling out production grade solutions to end customers </li></ul>
Technical Skills <ul><li> Experience in designing and deploying Analytical Systems, End to end.</li><li> Excellent problem-solving skills</li><li> Strong verbal and written communication skills</li><li> Strong hands-on programming experience with R or Python or Java</li><li> Hands-on experience with any of the data science platforms such as RapidMiner, SAS and IBM</li><li> Sound understanding of machine learning algorithms, including classification, clustering, association and recommendation generation</li><li> Familiarity with Open Source Machine Learning (R, Python), NLP toolkits and deep learning frameworks (TensorFlow, Keras, H2O etc.)</li><li> Working experience with statistical inference</li><li> Experience with BI (Tableau, Oracle, IBM, Microsoft), Data Science (RapidMiner/ SAS/ IBM), NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server) tools</li><li> Experience using cloud computing and storage frameworks such as Amazon AWS (EC2, S3, Redshift, RDS) and Microsoft Azure Storage</li></ul>

 
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Check out our career opportunities at goo.gle/3DLEokh

Data Engineer, Google Trust and Safety

<div jscontroller="iYVHDc" class="DkhPwc" jsname="tIk9qd" data-id="122758719439020742" jsaction="A6AxKc:CXOOvf;"><div class="KwJkGe"><h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>5 years of experience in digital media, sales, marketing, or product roles.</li>
<li>2 years of experience in data management or its integration into media buys.</li>
<li>Ability to communicate in Hebrew fluently in order to interact in this customer-facing sales role.</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Experience in advanced data analysis and web analytics/SEO, or digital advertising such as programmatic media and advanced search marketing.</li>
<li>Experience in data integration and media/attribution strategy.</li>
<li>Experience in business development, client relationships.</li>
<li>Knowledge of Google Media Platforms, including Google Ads, Search Ads 360, and Display and Video 360.</li>
<li>Excellent client-service and problem-solving skills.</li>
</ul></div><div class="aG5W3"><h3>About the job</h3>Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.</div><div class="BDNOWe"><h3>Responsibilities</h3><ul>
<li>Manage a portfolio of enterprise clients that are advertisers.</li>
<li>Cultivate and own key relationships with clients and partners across problem-solving, data, and marketing.</li>
<li>Advise and support on privacy-preserving customer data solutions and future-proofing customers’ measurement set-up in line with industry evolution on consent, cookies, usability, and tracking transparency.</li>
<li>Activate digital transformation projects to deliver everything from privacy-safe first-party data collection to custom Machine Learning (ML) and predictive analytics.</li>
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