Required Skills

Data scientist

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 10th Jan 2024

JOB DETAIL

1. Advanced Data Analysis:

- Utilize strong SQL skills to query and manipulate data from various sources, ensuring data integrity and accuracy.

- Utilize Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn) to conduct advanced data analysis.

- Develop and implement machine-learning models for propensity modeling, viewer measurement, and CRM data analysis.

 

2. Visualization and Reporting:

   - Produce compelling visualizations in Tableau to communicate data-driven insights effectively.

   - Collaborate with cross-functional teams to create dashboards and reports that support decision-making processes.

3. Client Proposal Development:

   - Work closely with Account Executives and clients to understand their needs and develop client proposals based on in-depth research and data analysis.

4. Relationship Building:

   - Establish and nurture key relationships with Analytics heads at advertising agencies, data partners, and internal divisions.

   - Collaborate with industry players to stay abreast of the latest developments in data science and media analytics.

5. Cloud-Based Development:

   - Architect and develop innovative advertising products using AWS services (S3, Athena, Lambdas, StepFunctions).

- Leverage AWS cloud infrastructure for scalable and efficient data processing and model deployment.

6. Continuous Learning:

   - Stay informed about the latest advancements in Python, Tableau, and AWS, and integrate new technologies to enhance the team's capabilities.

 

Qualifications:

 

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

- Strong proficiency in Python and experience with common data science libraries.

- Demonstrated expertise in Tableau for data visualization.

- Hands-on experience with AWS cloud infrastructure.

- Proven track record of developing and implementing machine-learning models.

- Excellent communication and collaboration skills.

 

If you are passionate about data science, media analytics, and have a strong background in Python, Tableau, and AWS, we encourage you to apply and join our dynamic team

 

Company Information