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High priority requirement || Data Scientist Architect || San Jose California day 1st Onsite at California, Maryland, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=430377&uid=

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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09:06 PM 20-Jul-23


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