Data Scientist *** Direct Client ***

We are seeking a passionate and skilled Data Scientist with a can-do attitude to join our dynamic team. The ideal candidate will be deeply involved in analyzing complex datasets, building advanced models, and providing actionable insights that drive business success. With at least 5 years of experience in a data analytics role, you will bring strong technical expertise in SQL, Python, and statistical modeling techniques, alongside hands-on knowledge of tools like Databricks and Tableau. You will be motivated by working with advanced NLP techniques, exploring the potential of Large Language Models (LLMs), and solving challenging real-world problems.

Key Responsibilities:

• Conduct end-to-end data analysis to uncover business insights and support data-driven decision-making.

• Define and monitor KPIs, perform descriptive and predictive analysis, customer segmentation, and funnel analysis.

• Build statistical models such as regression, classification, and time-series forecasting to address diverse measurement questions.

• Implement NLP text mining techniques and explore LLM applications for deriving meaning from unstructured data.

• Create and maintain data pipelines for combining and cleansing data from multiple sources to enhance analysis efficiency.

• Develop visually compelling dashboards and reports using Tableau or equivalent tools to communicate findings effectively.

• Work closely with stakeholders to translate business challenges into data solutions, ensuring clarity and alignment with objectives.

• Generate actionable insights through statistical analysis, explanatory and predictive modeling, and data mining.

• Perform data discovery, conduct quality checks, and produce ad-hoc reports for various business needs.

• Stay up-to-date with the latest advancements in data science, machine learning, and analytics methodologies.

Key Qualifications:

• Education: A degree in Data Science, Computer Science, Statistics, or a related field is preferred.

• Experience: Minimum of 5+ years in a data analytics role with proven experience in driving insights from complex datasets.

• Technical Skills:

  • Expertise in SQL and Python (essential).

  • Familiarity with tools like Databricks and Tableau.

  • Strong understanding of statistical modeling techniques (e.g., regression, classification, time-series).

  • Machine Learning proficiency, with hands-on experience applying models to practical scenarios. Experience with NLP text mining and an interest in LLM applications.

  • Analytical Skills:

    • Fluency in defining KPIs, predictive modeling, descriptive statistics, and customer segmentation.

    • Ability to tell compelling stories using data and clearly link them to business outcomes.

  • Demonstrates excellent problem-solving skills, business acumen, and quantitative thinking.

  • Strong interpersonal and organizational skills, with the ability to collaborate effectively across teams.

• Preferred Skills:

  • Experience with advanced data analytics tools such as R, Presto, Hive, or equivalent technologies.

  • Familiarity with ETL pipelines and data governance best practices.

  • Prior experience in developing dashboards for large-scale data environments.

  • A curiosity-driven mindset and a commitment to continuous learning.

Data Science, Data Analysis, SQL, Python, Tableau, Databricks, Machine Learning, NLP, Text Mining, LLMs, Statistical Modeling, Predictive Analytics, Regression, Time-Series, Data Visualization, KPIs, Funnel Analysis, ETL, Ad-hoc Reporting, Actionable Insights, Business Intelligence, Descriptive Statistics, Customer Segmentation, Data Pipelines, Data Discovery, Data Quality, Advanced Analytics.