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Data Science Lead, Forecasting

Data ScientistData ScientistOtherRemoteSeniorTeam 10,001+Since 1915H1B SponsorCompany SiteLinkedIn

Location

Florida

Posted

147 days ago

Salary

$120K - $168K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishPythonTableau

Job Description

Data Science Lead, Forecasting

Carrier

• Develop Carrier-specific demand forecast models for the North America Residential and Light Commercial markets • Maintain and refine industry demand models to forecast short-term and long-term North America Residential and Light Commercial HVAC market demand • Generate supplemental industry outlook forecast scenarios through sensitivity analysis against key variables and assumptions • Leverage, maintain, and refine Carrier’s demand sensing forecast for Residential and Light Commercial to detect and respond to short-term changes in customer demand • Track forecast model accuracy using KPIs such as MAPE • Prepare monthly executive-level demand outlook reports • Collaborate with North America Sales & Operations Planning personnel to mutually develop the SIOP monthly demand forecast for North America Residential and Light Commercial • Incorporate U.S. and Canadian regulatory changes into the forecast and demand planning models • Maintain an in-depth knowledge of designated markets and trends through monitoring industry reports, market research, and relevant macroeconomic data

Job Requirements

  • Bachelor’s degree
  • 5+ years of combined experience in demand forecasting, economic modelling, and data analytics
  • 2+ years’ experience with time-series modeling (ARIMA, regression, leading indicator models)
  • 5+ years’ experience in developing executive-level summaries and presentations
  • 5+ years’ experience with Microsoft Excel and PowerPoint
  • Master’s degree, preferably in Economics, Statistics, Finance, Data Science/Analytics, Supply Chain, or related field (preferred)
  • Experience with business intelligence, analytics, data visualization and Supply Chain management tools such as Power BI, Tableau, ThinkCell, Kinaxis and similar tools (preferred)
  • Experience with statistical modeling, data science tools such as Python, SAS, cloud platforms or similar tools (preferred)
  • Familiarity with U.S. and Canadian HVAC industry, including current and future regulations and standards, market dynamics and distribution channels (preferred)
  • Knowledge of macroeconomic trends and factors and their impact on HVAC demand (e.g. regional climate trends, mortgage interest rates, residential new construction starts, existing home sales) (preferred)

Benefits

  • Health Care benefits: Medical, Dental, Vision; wellness incentives
  • Retirement benefits
  • Time Off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Healthcare Spending Account; Dependent Care Spending Account
  • Tuition Assistance

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