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High priority requirement || Data Scientist Architect || San Jose California day 1st Onsite at California, Maryland, USA
Email: [email protected]
From:

Nancy Jaswal,

Scalable Systems

[email protected]

Reply to:   [email protected]

Hi ,

Hope youre doing great. I do have urgent opening for below role. If youre looking for job change please let me know ASAP.

Job position-

Data Scientist Architect

Location-     

San Jose, California day 1st 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

Nancy Jaswal

[email protected]

[www.scalable-systems.com]

Scalable Systems | 

[www.scalable-systems.com]

Inspiring Innovation

Big Data | Analytics | Integration | Intelligence

www.scalable-systems.com

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Thu Jul 20 21:06:00 UTC 2023

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