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Senior Data Scientist/Data Analytics - R01565538

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<p><u><strong>Senior Data Scientist</strong></u></p> <p></p><p><br></p><b>Primary Skills</b><ul> <li>Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio</li> </ul><p><br></p><b>Specialization</b><ul> <li>Data Science Advanced: Data Scientist</li> </ul><p><br></p><b>Job requirements</b><ul> <li> <div><span data-olk-copy-source="MessageBody">Location: Seatle, WA</span></div> <div>Work Type: Remote </div> <div>Candidates needs to be ready to work on PST time zone</div> </li> <li>Analytical data professional with a strong mix of data analytics and data science support skills. Experienced in assisting senior data scientists with modeling, backtesting, forecast performance monitoring, and deep data analysis. Strong ability to investigate data at a detailed level, identify variances, trends, and anomalies, and translate findings into actionable insights for forecasting and supply chain decisions.</li> </ul> <div> </div> <div>Key Responsibilities<br>•    Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities.<br>•    Support senior data scientists with model inputs, backtesting, validation, and performance analysis.<br>•    Monitor forecast accuracy, bias, and overall health of forecasting solutions.<br>•    Analyze data quality issues and understand business drivers.<br>•    Build analytical datasets and reports to support forecasting and supply chain planning.<br>•    Develop dashboards and KPI reporting using Power BI or similar analytics platforms.<br>•    Collaborate with business teams and data scientists to improve decision-making.<br>•    Automate recurring analysis using SQL and Python.<br>•    Ensure strong data governance and reliable data availability.</div> <div> </div> <div>Preferred Qualifications<br>•    5+ years of experience in data analytics, forecasting analytics, or data science support roles.<br>•    Strong expertise in SQL, Python, Excel, and data analysis techniques.<br>•    Experience supporting forecasting models and backtesting processes.<br>•    Understanding of statistics, trends, seasonality, and variance analysis.<br>•    Experience with Power BI or similar analytics platforms preferred.<br>•    Azure experience is a strong plus.<br>•    Familiarity with Microsoft Fabric is a major plus.<br>•    Supply chain experience preferred.</div> <div>#LSR1</div><p><br></p><p></p> <div>$70 - $75 an hour</div>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

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Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...