Data Scientist I

We are on the lookout for a data scientist who is passionate about data and problem-solving. The ideal candidate who is eager to learn, can work collaboratively with various teams, and is committed to staying updated with the latest developments in data science and machine learning. We value individuals who are proactive, detail-oriented, and ready to contribute their expertise to our diverse analytical projects. If you are someone who thrives in a challenging environment and is looking for a role where you can make a significant impact, we would love to hear from you.

To be successful in this position, a candidates specific skills include, but are not limited to:

• Partnership: Work closely with colleagues from Sales, Operations, Product, Finance, and others to understand their domain, processes and come up with solutions for their problems and tools to make their day-to-day operations efficient and effective
• Strategic and Analytical Orientation: Experienced in decision making and problem solving based on analytics. Conceptual thinking for framework creation combined with strong quantitative orientation to solve complex problems with rigorous analytics and monitoring
• Strong Technical/Programming Skills: Orientation to & ability to code in languages such as SQL, Python, integrate structured & unstructured internal & external data sources to create user interfaces, adept at building visualizations using UI tools
• Machine Learning/Statistical Modeling: Training and hands on experience either through coursework and/or professional experience.
• Strong Communication Skills: Strong written and oral communication skills coupled with skills to influence and drive agreement through intellectual, interpersonal and negotiation skills
• Execution Focus: Build and manage execution plans of business intent, requirements, execute against the strategy and monitor results
• Results Focus: Focused on achieving short and long-term goals. Able to drive and execute an agenda in an uncertain, fluid environment with minimal supervision
• Strong business judgment, leadership, and integrity: Tenacious decision maker able to bring healthy, aggressive yet responsible approach to business
• Product Maker: The right candidate will be self-motivated and have a Product Maker mindset. Strong conceptual thinking to understand the business and ability to grasp analytical & technical concepts

What to Expect?

• Developing processes and tools to monitor and analyze model performance and data accuracy
• Leading ongoing reviews of business processes and developing optimization strategies
• Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
• Collaborating with stakeholders and teams to implement and evaluate the data science models and outcomes
• Working with data engineering teams to validate data ETL process as data environment transition to cloud.
• Proposing solutions and strategies to business challenges
• Presenting information using data visualization techniques

Minimum Qualifications:

• Bachelors degree in a technical discipline with 1+ years of experience or advanced degree with commensurate level of work experience
• Expertise in multiple programming languages including Python, R, and SQL.
• Deep understanding of machine learning algorithms and principles.
• Experience with cloud platforms like AWS or Google Cloud.
• Proficiency in big data frameworks like Hadoop or Spark.
• Ability to perform complex data analysis and build predictive models.
• Strong skills in data visualization and presentation.