Brillio

Senior Data Scientist - R01561661

Brillio$100K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6 years of experience in data science with business problem formulation expertise
  • Strong skills in statistical validation of objectives and key results (OKRs)
  • Proficiency in data wrangling using Python or R
  • Expertise in data storytelling with visualization tools like Tableau or Power BI
  • Experience with Excel VBA for data manipulation and automation
  • Ability to make informed decisions on model iterations
  • Strong domain data literacy and design thinking skills

Responsibilities

  • Formulate complex business challenges into actionable data science problems
  • Validate OKRs using statistical measures to align with business goals
  • Conduct comprehensive data wrangling and data cleansing
  • Generate insights and compelling narratives through exploratory analysis
  • Utilize Excel VBA for automation and streamline analytical processes
  • Make informed technical decisions on model iterations
  • Collaborate with teams to enhance domain knowledge and drive decisions

Benefits

  • Opportunities for professional development and certification
  • Access to cutting-edge tools and technologies in data science
  • Collaborative work environment with cross-functional teams
  • Ability to influence business strategies through data-driven insights
  • Flexible work arrangements including remote work options
Full Job Description
Data Scientist
Primary Skills
  • Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Specialization
  • Data Science Foundation: AI/ML Engineer
Job requirements
  • Experience Range: 4 - 6 years of experience in data science, with demonstrated expertise in formulating business problems into data science solutions Key Responsibilities: 1. Formulate complex business challenges into actionable data science problems and design tailored analytical solutions 2. Validate objectives and key results (OKRs) using robust statistical measures and ensure alignment with business goals 3. Conduct comprehensive data wrangling, cleansing, and transformation to prepare datasets for modeling and analysis 4. Generate actionable insights and compelling data stories through advanced exploratory analysis and visualization techniques 5. Apply Excel VBA for automation, data manipulation, and custom reporting to streamline analytical workflows 6. Make informed technical decisions on model iterations, balancing performance improvements with resource constraints 7. Collaborate with cross-functional teams to rapidly acquire domain knowledge and drive data-driven decision making 8. Communicate findings clearly through vocal and written channels, articulating technical concepts to business stakeholders Required Skills: 1. Expertise in problem formulation from business requirements to data science solutions 2. Advanced proficiency in statistical validation of OKRs 3. Strong data wrangling and preprocessing skills using Python or R 4. Data storytelling and insight generation through visualization tools such as Tableau or Power BI 5. Excel VBA for automation and advanced data manipulation 6. Technical decision making in iterative model development 7. Data literacy across multiple domains 8. Design thinking in analytical solution development 9. Experience with machine learning model development and evaluation 10. Ability to quickly consume and analyze new domain data Preferred Skills: 1. Experience with cloud-based analytics platforms (e.g., AWS, Azure, GCP) 2. Knowledge of advanced statistical modeling techniques 3. Familiarity with big data frameworks such as Spark or Hadoop 4. Expertise in deploying data science solutions to production environments 5. Proficiency in advanced data visualization libraries (e.g., D3.js, Plotly) Desired Qualifications: 1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 2. Relevant certifications in data science or analytics (e.g., Microsoft Certified Data Scientist, Google Professional Data Engineer)

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

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Learn more about Brillio
Industry
Founded
2014

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