| C2C Requirments Data Scientist Architect || Urgent Profiles Required || Location: San Jose, California at San Jose, California, USA |
| Email: [email protected] |
| Dear Vendor, Please upload new profiles for below mentioned JD. Note: Kindly submit the profiles in GBAMS dont share through emails. Location: San Jose, California Onsite/Remote : Day 1 onsite Technical Skills Machine Learning : SciPy, Sckit-learn, Pandas Technique : Hyperparameter Tuning, Imbalanced Data, Ensemble Learning, Boosting Algo : SVG, XGBoost, KNN, Clustering, Views, MassTer, Stata etc Natural Language Processing : LLM familiarity (BERT), Neural Networks (LSTM) Big Data Experience : Cloud Services (GCP, Microsoft Azure, AWS) Expert knowledge on Time series Forecasting, Python Libraries 6+ years of experience in MMM, measurement, A/B testing, marketing strategy & analytics Proficient coding skills (Python/SQL) and database knowledge Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc. Proficient in SQL and Python Libraries (Tensor Flow, Keras, PyTorch Domain Knowledge Candidate need to have extensively exposure and hands-on knowledge on Market Mix Modelling and should possess strong Marketing Domain Knowledge. Responsibilities Conducting the appropriate analytics techniques on available data. This will focus on Market Mix Modelling but will also include a wider range of techniques such as portfolio management and digital analytics. Deriving meaningful insights from the results of a project Running and delivering practical and implementable media optimization scenarios supporting the decision-making process for the planning teams Communicating results to internal teams, and establishing buy-in of recommendations Working within a team of 10-13 people across different Team to ensure project deliverables are produced on time. This is a hands-on role: Collecting data from relevant sources, checking for accuracy and formatting for analytics Developing strong working relationship with the account planning teams and foster a culture of information sharing Showcase Media Mix Modelling and its benefits to planning teams to create agency wide awareness Learning, implementing optimization tools in cooperation with the wider data science team Build and enhance media mix models to connect the impact of marketing drivers and business short-term and long-term outcomes Develop optimization and simulation algorithms to guide the marketing investment and allocation recommendations to stakeholders Scale current Python modeling algorithm through parallel processing or other efficiency enhancement Design and execute A/B test and other experiments Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems Partner with cross-functional team to streamline data science solutions Thanks & Regards Ayushi Srivastava Email-id- [email protected] -- Keywords: active directory information technology Idaho |
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| Thu Jul 20 02:53:00 UTC 2023 |