Data Scientist I identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Being a Data Scientist I designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops database to support the business solutions. Additionally, Data Scientist I may require an advanced degree. Typically reports to a manager. The Data Scientist I work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist I typically requires 0-2 years of related experience.
Data Scientist Job Description Template
Our company is looking for a Data Scientist to join our team.
Responsibilities:
- Participate in project planning sessions to gather user requirements;
- Leveraging communication skills to collaborate effectively with analysts across SVB;
- Work with our customers to ensure that our data and analytics continue to provide strong return on investment;
- Build common platforms and applications;
- Work with internal customers to gather and document requirements;
- Conducting statistical analysis of results to prove / disprove hypotheses, and;
- Ensures that the work of the team contributes to the strategic goals of the department and of the organization;
- Apply architectural and technology concepts to address scalability, security, reliability, maintainability and sharing of enterprise data;
- Data-mining, Pattern matching & recognition;
- Straddle differing subject areas such as in-game and business data sources;
- Evaluate emerging datasets and technologies that may contribute to our existing analytical platforms;
- Support the design and development of predictive analytics models through the implementation, validation and acceptance of the developed models;
- Provide thought leadership in analytics and modeling;
- Develop and maintain reports and dashboards as per client requests and meet client expectations;
- Comply with change management policies and code reviews to ensure data integrity and system stability.
Requirements:
- Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field;
- Ability to create AI models and good understanding of machine learning workflow models such as kmeans, linear regression etc;
- Ability to present ideas during meetings and prepare supporting documents to communicate complex and technical information;
- Ability to manage multiple and competing priorities;
- Strong organization and prioritization skills;
- Good verbal and written communication skills;
- Proficient in R/SAS/Python, data visualization tool;
- Minimum 2 years’ experience in a data architecture role with deep understanding of architecture principles & best practices;
- Unix scripting (Ruby, Perl, Python, shell);
- Demonstrated ability programming in Python, R, and/or Scala;
- Statistical reasoning;
- BS in ECE, EE, CS or related discipline or equivalent practical experience;
- Experience developing data analytics and machine learning algorithms, and performing statistical analysis;
- Straddle differing subject areas such as in-game and business data sources;
- Strong understanding of basic statistics, linear algebra and calculus.