Data Science Career Path in Sales with Tax Rate in Salary

Career infographic titled "Data Science Career Path in Sales". Archetype: CAREER PATH LADDER. Editorial LinkedIn-magazine illustration, dark dashboard style, soft pastel palette, clean grid, subtle data-UI panels, modern vector icons, polished magazine layout, high contrast for readability, no real company logos as endorsements. Show a vertical ladder or stepped pathway from entry to leadership in sales-focused data science. Include 7 labeled sections in English with concrete actionable tips: 1) Header panel with subtitle about sales industry analytics and a small note that salary figures are example only. 2) Junior Data Analyst — responsibilities: CRM reporting, dashboard maintenance, lead funnel analysis; tips: learn SQL, spreadsheet modeling, KPI definitions, basic data visualization. 3) Mid Data Scientist — responsibilities: forecast pipeline, segment customers, build churn and conversion models; tips: use Python, A/B testing, feature engineering, stakeholder storytelling. 4) Senior Data Scientist — responsibilities: pricing optimization, sales territory modeling, attribution analysis; tips: improve experimentation design, model monitoring, causal inference, mentoring. 5) Lead Data Scientist — responsibilities: unify data strategy across sales ops and marketing, set standards, prioritize roadmap; tips: build reusable pipelines, align with revenue goals, communicate trade-offs. 6) Manager / Head of Data Science — responsibilities: hire team, allocate budget, define impact metrics, partner with sales leadership; tips: measure business ROI, coach managers, govern data quality, influence executive decisions. 7) Skills and salary side panel with example salary bars in PLN (zł), clearly labeled as example: Junior example 9 000–13 000 zł/month, Mid example 14 000–22 000 zł/month, Senior example 23 000–35 000 zł/month, Lead example 30 000–45 000 zł/month, Manager example 35 000–55 000 zł/month. Add compact callouts for core tools and skills: SQL, Python, BI dashboards, experimentation, forecasting, stakeholder communication, domain knowledge in sales. Include a small visual-only hint for search intent around tax rate in salary without adding that phrase as on-image text, such as a generic payroll deduction mini-chart with neutral icons and no extra wording beyond standard infographic labels. Add progression arrows, milestone badges, and do/don't style micro-callouts such as do quantify revenue impact, do validate data quality, don't overfit models, don't ignore sales context. All salaries are illustrative examples only. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no real company logos as recommendations, no watermarks No real company logos as endorsements. Illustrative salary numbers labeled as example. No discriminatory framing.