Data Scientist Experienced Hire

Responsibilities

1. Drive sales and solutioning of data science/analytics engagements.

2. Manage and/or supervise project delivery.

3. Mentor teams, build new capabilities, support/contribute to thought leadership and building new skills.

4. Work seamlessly with Client teams in positioning data science/analytical capabilities and help drive data science/analytics engagement.

5. Manage the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance, and multiple objective functions.

6. Be creative and resourceful, utilizing traditional statistical methodologies as well as newer techniques from computational statistics, data mining, and big data capabilities.

Minimum Requirements

1. Minimum of bachelor’s degree in a relevant field like statistics, computer science, applied math, physics, or relevant subjects, or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.

2. Strong background in statistical concepts and calculations.

3. 5+ years of experience with real data.

4. Innovative and strong analytical and algorithmic problem solver.

5. 5+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation.

6. 5+ years of experience with statistical computing tools like R, SAS, and SPSS.

7. Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis.

8. Experience in one or more statistical software packages such as R, SAS, SPSS, etc.

9. Experience in one or more programming languages such as Python, R, etc.

10. Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc.

11. Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc.

12. Experience in database management systems such as MongoDB, PostgreSQL, and MySQL.

13. Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc.

14. Ability to meet travel requirements, when applicable.

15. Proven success in contributing to a team-oriented environment.

16. Proven ability to work creatively and analytically in a problem-solving environment.

17. Excellent leadership, communication (written and oral), and interpersonal skills.