Scraper to deal with some complicated site with ads
There is a room for improvement - like there always is:


avoid bare exception handling. Instead of having an except clause without specifying exception classes to handle, you can handle TimeoutException (which you even already have imported) 
use with context manager when dealing with files
instead of using the find_elements_by_css_selector() method and then getting the first result - just use find_element_by_css_selector() directly
use try/finally to make sure the browser is closed in case of an unexpected exception during the web-scraping
respect PEP8 rules - specifically: spaces between arguments, order of imports
adding couple clarifying comments might help to improve readability
I think you can switch to "by id" locator for the "next" button


Improved version:

import csv

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support import expected_conditions as EC


driver = webdriver.Chrome()
wait = WebDriverWait(driver, 10)

driver.get("https://www.inc.com/inc5000/list/2017")

# skip ad popup if present
try:
    wait.until(EC.element_to_be_clickable((By.XPATH, "//span[.='SKIP']"))).click()
except TimeoutException:
    pass

try:
    with open("inc.csv", "w", newline='') as outfile:
        writer = csv.writer(outfile)
        writer.writerow(["Rank", "Company", "Growth", "Revenue", "Industry"])

        while True:
            for row in driver.find_elements_by_css_selector("#data-container .row"):
                rank = row.find_element_by_css_selector(".rank").text
                company = row.find_element_by_css_selector(".company a").text
                growth = row.find_element_by_css_selector(".growth").text
                revenue = row.find_element_by_css_selector(".revenue").text
                industry = row.find_element_by_css_selector(".industry").text

                writer.writerow([rank, company, growth, revenue, industry])
                print(rank, company, growth, revenue, industry)

            # next page
            try:
                wait.until(EC.element_to_be_clickable((By.ID, "arrow-r"))).click()
            except TimeoutException:
                break  # reached the end of the page
finally:
    driver.quit()