Data Scientist (Remote) Job at Perazzaprints, Remote

TnI2bVFoSWhSNHl0YzZPUFREaEVKTlpEclE9PQ==
  • Perazzaprints
  • Remote

Job Description





Company Overview: We are a dynamic and growing company specializing in selling branded apparel on Amazon. With a diverse product line featuring 40 base products and nearly 2000 variation choices, we are committed to delivering top-quality apparel to our customers. We are seeking a highly skilled Data Scientist to join our team and help us forecast future trends, optimize operations, and drive strategic decisions.

Job Summary: As a Data Scientist, you will handle all aspects of data analysis and scientific modeling. Your primary focus will be on forecasting business performance over 1, 3, and 5-year horizons, considering both internal trends and external global factors such as economic indicators and potential disruptions. You will develop advanced predictive models, analyze complex datasets, and provide actionable insights to support our strategic planning and operational efficiency. Full time, 160 hours per month, paid weekly.

Key Responsibilities:

  • Predictive Modeling and Forecasting: Develop and implement advanced machine learning models to forecast sales, profitability, and inventory needs for 1, 3, and 5-year periods.
  • Data Analysis: Analyze internal data from Amazon API and QuickBooks, as well as external data on global economic trends, market conditions, and consumer behavior.
  • Trend Analysis: Identify and interpret key trends and patterns in sales, seasonality, and customer preferences.
  • Algorithm Development: Create and refine algorithms to optimize pricing strategies, inventory management, and marketing campaigns.
  • Dashboard Creation: Develop and maintain custom dashboards using tools such as Power BI, Tableau, or Google Data Studio to visualize predictive models and key metrics.
  • Reporting: Generate comprehensive reports and present findings to stakeholders to inform strategic decision-making.
  • Risk Analysis: Assess potential risks to production and supply chain, such as fabric shortages, natural disasters, and other disruptions, and incorporate these factors into forecasting models.
  • Collaboration: Work closely with cross-functional teams including marketing, sales, and operations to provide data-driven insights and recommendations.
  • Process Improvement: Continuously seek opportunities to improve data collection processes, analytical methods, and forecasting accuracy.

Qualifications:

  • Educational Background: Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience:
    • Minimum of 5 years of experience as a Data Scientist, preferably in an e-commerce or Amazon-focused company.
    • Proven experience in developing and deploying machine learning models for forecasting and predictive analysis.
  • Technical Skills:
    • Proficiency in data analysis and machine learning tools such as Python, R, SQL, and frameworks like TensorFlow or PyTorch.
    • Experience with data visualization tools such as Power BI, Tableau, or Google Data Studio.
    • Strong background in statistical analysis and modeling techniques.
  • Analytical Skills: Exceptional analytical and problem-solving skills with the ability to interpret complex data sets and provide actionable insights.
  • Communication Skills: Excellent written and verbal communication skills with the ability to present data findings clearly and concisely to stakeholders.
  • Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.

Preferred Qualifications:

  • Experience in Apparel Industry: Previous experience working with branded apparel products is a plus.
  • Amazon Expertise: In-depth understanding of Amazon’s marketplace, seller tools, and reporting capabilities.
  • Global Trend Analysis: Experience in analyzing global economic trends and their impact on business performance.
  • Risk Management: Knowledge of assessing and mitigating risks related to supply chain disruptions, such as fabric shortages, natural disasters, and geopolitical events.

Benefits for full time employees include:

  • 10 Vacation Leave
  • 4 Mandatory Paid Holidays
  • 6 Sick Leave/Emergency Leave
  • 2 Flex Holidays
  • $100 Software/Hardware Subsidy annually
  • $450 Health Benefit Subsidy

Total of 22 Paid Days Off Per Year

Full-Time employees located in the Philippines are also given pro-rated 13-month pay





Job Tags

Remote job, Weekly pay, Full time, Flexible hours,

Similar Jobs

Broadway Cab

Taxi Drivers Standard and Wheelchair Accessible Job at Broadway Cab

 ...Description Broadway Cab is looking for customer service-focused people who want to be their own boss! Join our team of professional drivers! Broadway Cab is actively seeking dedicated taxi cab drivers who are experienced in wheelchair accessible transportation and... 

Carle Health

Social Worker (LCSW) - Co Responder Social Service Unit Job at Carle Health

 ...REQUIREMENTS Master's Degree in Social Work. CERTIFICATION & LICENSURE REQUIREMENTS Licensed Clinical Social Worker (LCSW) Illinois upon hire and Driver's License upon hire and Proof of Auto Insurance upon hire. EXPERIENCE REQUIREMENTS 1... 

Glacial Sands Oral, Facial, Implant Surgery

Oral Surgery Assistant Job at Glacial Sands Oral, Facial, Implant Surgery

 ...Job Description Join Our Team at Glacial Sands Oral, Facial, and Implant Surgery! Company Description At Glacial Sands Oral, Facial, and Implant...  ...leader in our community. Position: Oral Surgery Assistant (Full-Time | On-Site | Chesterton, IN) Are you passionate... 

Mclees Incorporated

Commercial Roofer Job at Mclees Incorporated

 ...COMMERCIAL ROOFER NEEDED!$25-$30/hr, DOE We are looking for an individual to Install and repair flat membrane roofing on commercial...  ...comfortable, whether youre at home or at work. With our expert HVAC services and professional roofing division, we can provide your... 

Sodexo

Executive Sous Chef Job at Sodexo

 ...their next adventure. Join our team of experience-makers and food fanatics and be part of creating memorable experiences ! Our culinary teams are creative with working in small spaces and presenting attractive culinary displays. We are seeking a chef who enjoys...