Qualifications 

To perform this job successfully, an individual must be able to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and Experience

Must have between 4-6 years of impactful experience in creating Data-driven products and productizing ML models, while being mindful of Data pipelines. 

Bachelor's in fields such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific field – along with proven experience. Or a Masters/ PhD with lesser, but applicable, experience is also welcomed.

Certificates and/or License 

Data Scientist Certification or equivalent combination of experience and/or education.

Communication skills

Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond optimally to the most critical issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.

Financial Knowledge

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

Reasoning ability

Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.

Other skills and/or Abilities

Demonstrated knowledge of R and/or Python, together with SQL.

Demonstrated knowledge of standard machine learning algorithms, based on “An Introduction to Statistical Learning” by James et. al. or similar textbook. Demonstrated knowledge of strengths, weaknesses, and real-world performance of the ML algorithms.

Demonstrated knowledge of web scrapping and data preprocessing.

Scope of responsibility

Decisions made with in-depth understanding and interpretation of procedures, company policies and business practices to achieve general results. Responsible for setting department deadlines. Errors in judgment may cause long-term impact to co-workers, supervisor, department and/or line of business.