Data Scientist Location:

Austin Employment Type:

Full-time Experience:

[1-5 years]

Department:

Data & Analytics Reports To:

[Hiring Manager / Head of Data] About the Role We are looking for a talented and analytical Data Scientist to join our team. In this role, you will work with large and complex datasets to uncover actionable insights, build predictive models, and develop data-driven solutions that support business objectives. The ideal candidate combines strong statistical and machine-learning skills with the ability to translate business problems into practical data solutions. Key Responsibilities Analyze large datasets to identify trends, patterns, and actionable insights. Develop, evaluate, and deploy machine-learning and statistical models. Work on predictive modeling, classification, regression, clustering, and forecasting problems. Clean, preprocess, and transform structured and unstructured data. Design and evaluate experiments and statistical analyses. Collaborate with product, engineering, business, and analytics teams to solve business problems. Create data visualizations and communicate findings clearly to technical and non-technical stakeholders. Monitor model performance and improve models as business requirements evolve. Develop reusable data-science workflows, documentation, and best practices. Stay current with developments in machine learning, AI, statistics, and data science. Required Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field. [2-5] years of relevant experience in data science, machine learning, or analytics. Strong programming skills in Python or R. Strong knowledge of SQL and experience working with databases. Hands-on experience with machine-learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch . Strong understanding of statistics, probability, and machine-learning concepts. Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn . Ability to communicate technical findings clearly and effectively. Strong analytical, problem-solving, and critical-thinking skills. Preferred Qualifications Experience working with cloud platforms such as AWS, Azure, or Google Cloud . Experience with big-data technologies such as Spark. Familiarity with MLOps, model deployment, APIs, and production machine-learning systems. Experience with NLP, computer vision, recommendation systems, or generative AI. Experience using Git and modern software-development practices. What We Offer Competitive salary and benefits. Opportunity to work on meaningful, data-driven projects. Collaborative and innovative work environment. Learning and professional-development opportunities. Flexible work arrangements, where applicable. Opportunity to work with modern data and AI technologies. How to Apply Interested candidates can share their resume/CV along with relevant project or portfolio links at [email/contact/application link] .

Subject:

Application - Data Scientist - [Candidate Name] We are an equal-opportunity employer and welcome candidates from diverse backgrounds.