Lead Software Engineer

Pay and Benefits:

• Competitive compensation

  , including base pay and annual incentives.

• Comprehensive health and life insurance

  and well-being benefits, based on location.

• Pension/Retirement benefits

  .

• Paid Time Off (PTO)

  and Personal/Family Care, plus other leaves of absence for physical, financial, and emotional well-being.

• Flexible/hybrid work model

  : 3 days onsite and 2 days remote (Tuesdays, Wednesdays, and one other day unique to each team or employee).

Role Impact:

Data Scientist

Primary Responsibilities:

• Machine Learning & Data Modeling

  : Develop and deploy machine learning models (regression, classification, clustering, deep learning) for business problem-solving.

• Data Pipeline Development

  : Build ETL pipelines using Python, Snowflake, and Oracle to ensure high data quality and integrity.

• Power BI Reporting

  : Design and optimize interactive dashboards, reports, and visualizations using Power BI, incorporating advanced DAX calculations and Power Query.

• Power Apps & Automate

  : Build and maintain Power Apps solutions and workflows to automate processes and improve operational efficiency.

• Cross-Functional Collaboration

  : Work with teams across the organization to translate business needs into data-driven solutions.

• Leadership & Mentorship

  : Provide guidance and mentorship to junior team members, sharing best practices and fostering continuous learning.

Qualifications:

Required Skills and Experience:

• 7+ years of experience

  in data science, analytics, or a related field with a focus on machine learning.

• Proficiency in Python

  , machine learning libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), and algorithms (supervised, unsupervised, reinforcement learning).

• Expertise in Power BI

  , including advanced DAX, Power Query, Power Pivot, and creating complex KPIs and measures.

• Proven experience with Power Apps

  development (canvas and model-driven apps) and

  Power Automate

  for business process automation.

• Hands-on experience with Snowflake and Oracle

  database technologies.

• Advanced SQL skills

  , with experience in writing complex queries and stored procedures.

• Strong communication skills

  , able to translate technical concepts into actionable business insights.

Education:

• Bachelor's or Master's degree in

  Computer Science, Statistics, Mathematics

  , or a related field.

Nice-to-Have Skills:

• Familiarity with

  SharePoint

  .

• Experience with other visualization tools

  like Tableau or Qlik is a plus.
• Ability to

  lead and communicate effectively

  in a collaborative environment.

Additional Traits for Success:

• A

  self-starter

  with the ability to work independently and as part of a team.
• Strong

  problem-solving and analytical skills

  , with attention to detail and a passion for data-driven decision-making.

• Effective collaboration

  with cross-functional teams and business stakeholders.