Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $120k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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.Kreate

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1997

💼 Consulting

📦 Logistics

⚡ Energy

Consulting • Logistics • Energy

Kreate is an India-based energy technology and trading company that combines power trading, renewable energy services, and software products. It operates as a registered trading and clearing member of Indian Energy Exchange (IEX) and Power Exchange India Limited (PXIL), facilitating short- and long-term power sale/purchase, open access transactions, and Renewable Energy Certificate (REC) trading. The company develops AI/ML and statistics-driven forecasting and analytics platforms (e. g. , RED Fx) for accurate renewable generation and demand forecasts, and offers a suite of energy-focused software products including trading, scheduling, energy accounting, real-time monitoring (RealGen), and EMS solutions. . Kreate serves utilities, generators, industrial and commercial clients and is organized into divisions such as Kreate Technologies, Kreate Energy, Kreate Lights, and Kreate Commodity.

📋 Description

• Build and maintain operations analytics covering production, OEE, downtime, scrap, and labor as a percentage of production sales value • Analyze retail performance with retail partners, including sell-in vs. sell-through, fill rate, on-time compliance, new-store stocking, and price tests • Own recurring analytics deliverables, including daily briefs, weekly operating reviews, and month-end analyses, and automate these processes where appropriate • Build reports and lightweight Python web applications that enable business users to access and explore data independently • Investigate data quality issues by tracing unexpected results back to their source systems and partnering with engineering to resolve issues upstream • Present analytical findings and business insights to plant leadership and finance teams • Collaborate with cross-functional stakeholders to define metrics, understand business requirements, and translate analytical findings into practical business decisions • Partner closely with plant managers, finance, engineering, and retail teams • Report to the VP of AI & Analytics

🎯 Requirements

• 2–4 years of experience in analytics, data science, or a related field • Strong SQL and Python skills, including experience with pandas and statistical or machine learning libraries such as stats models or scikit-learn • Sound understanding of statistical concepts, including distributions, regression, statistical significance, and appropriate sample sizes and limitations • Experience with Power BI, including DAX, or a comparable business intelligence and reporting platform • Ability to clearly explain metric definitions, analytical findings, and data limitations to both operational leaders and executive stakeholders • Strong problem-solving skills and the ability to investigate data issues from business outputs back to underlying source systems • Experience with manufacturing KPIs such as OEE, scrap, and cycle time • Experience in plastics manufacturing or injection molding • Familiarity with retail vendor data, including retailer portals, point-of-sale data, and EDI • Experience with time-series forecasting • Experience with Flask or a similar Python web framework • Experience integrating LLM APIs into analytics tools and applications