Job Description
As the Senior Data Science Engineer in our Data Science & Engineering team, you will lead the development of data products and solutions leveraging vast datasets from various consumer-focused companies. Your role is pivotal in creating high-performance algorithms, utilizing cutting-edge machine learning techniques (including deep learning), and designing intuitive workflows that empower our users to extract valuable insights from big data while maintaining a focus on data privacy.
Key Responsibilities
- Drive the evolution of Data & Services products/platforms with an impact focused on data science and engineering.
- Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Participate in identification and evaluation of data elements to deliver analytics for product development.
- Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Continuously innovate and determine new approaches & technologies to solve business. problems and generate business insights & recommendations.
- Participate in the development of data and analytic infrastructure for product development.
- Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve.
- Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
- Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
- Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
Qualifications
- Bachelor&aposs degree in Computer Science, Data Science, or any related discipline
- Minimum 4 years of experience in building and deploying production-level data-driven applications and data processing workflows/pipelines.
- Excellent proficiency in Python, Spark, SQL.
- Hands-on experience with Hadoop big data tools (Hive, Impala, Spark).
- Motivated, flexible, self-directed, and capable of leading small project teams.
- Quantitative and problem-solving skills.
- Excellent project management abilities.
- Quick learner with the ability to implement new technologies.
Desired Skills (Good To Have)
- Experience in performance tuning of databases, SQL, ETL jobs, and related scripts.
- Familiarity with batch processing and workflow tools such as NiFi.
- Experience working in Agile teams.
Interested Applicants, please email your resume to [Confidential Information] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.
