Data Scientist

Salary: $68000 - 102000 per year Requirements: We require a bachelors degree in a relevant discipline or equivalent experience, along with 3 to 5 years of related professional experience. We prefer a background in finance or mathematics, supported by strong statistical and analytical capability and solid MS Office proficiency. We look for experience using data tools such as Python, SAS, or SQL. We prefer a quantitative or statistical foundation. We value familiarity with analytics tools and reporting technologies. We need programming skills in Python and SQL. We expect knowledge of machine learning and statistics. We seek experience with data visualization tools such as Tableau, Power BI, Matplotlib, and Looker. We expect strong data wrangling and preprocessing skills. We value critical thinking, problem solving, and business acumen. We require effective communication skills and experience working with Excel or Google Sheets for data analysis. We prefer BigQuery experience. We seek demonstrated generative AI experience. We value strong proficiency with NotebookLM and Google Workspace Studio. Responsibilities: We gather data from internal and external sources, then clean, combine, and prepare it for analysis. We apply programming, mathematical, statistical, and analytical methods to interpret marketing and business data. We work with sales, customer, channel, and product data to generate insights and predictive outputs that support executive decision-making. We help business units understand customers, market trends, forecasting, and internal process improvements. We analyze complex marketing and consumer behavior challenges using CRM, web, sales, market, and ad platform data. We build, evaluate, and deploy predictive models such as attribution, customer lifetime value, churn forecasting, and trend analysis. We create and maintain optimized BigQuery queries and manage complex datasets. We cleanse, integrate, and automate pipelines for large, diverse marketing data streams. We develop self-serve dashboards in Tableau and translate models into actionable daily insights. We guide the marketing organizations adoption of Gemini, generative AI, Google Workspace Studio, and NotebookLM. We design and present customized AI bots and other AI solutions to scale tasks such as copywriting, campaign analysis, and translation. We automate cross-application workflows across Sheets, Gmail, Docs, and Calendar using Google Apps Script. We collect structured and unstructured data, handle missing values and anomalies, and perform feature engineering. We forecast trends and outcomes, recommend actions, and investigate changes in performance. We use Python, R, SQL, and machine learning frameworks, and apply Spark or Hadoop when needed. We present findings through clear dashboards, reports, and visualizations for business users. We conduct A/B testing and other experiments to validate hypotheses. We ensure data consistency, reliability, and accurate reporting and metrics. Technologies: AI BigQuery CRM Excel Hadoop Support Looker Machine Learning Marketing Power BI Python SAS SQL Spark Tableau Web Big Data Cloud GCP TensorFlow More: We are Aperture Cloud, a leading provider of consumer, business-to-business, and industrial digital imaging solutions across the United States, Latin America, and the Caribbean. Our Melville, NY team works collaboratively across business units in a full-time hybrid role, with three days in the office and the remainder remote unless business needs require otherwise. We offer competitive compensation, a broad benefits package, employee discounts, referral bonuses, volunteer opportunities, casual Dress for Your Day attire, and a welcoming culture built on integrity, respect, empowerment, and innovation. We also provide medical, dental, vision, 401(k), profit sharing, success sharing, educational assistance, recognition programs, and vacation. We require all applicants to be legally authorized to work in the United States and to reside in the country at the time of hire. last updated 26 week of 2026