Data Scientist
📍
Indianapolis, IN
🧪
Entry level
Job Description
Summary: We are seeking a highly experienced and accomplished Data Scientist to join our team as a leader and mentor. You will spearhead critical data-driven initiatives, tackling complex business challenges and uncovering valuable insights from our vast data assets. With 6+ years of proven success in the field, you will guide junior team members, collaborate effectively across departments, and champion a culture of data-driven decision making. Responsibilities: Define and lead high-impact data science projects in alignment with business objectives. Identify and prioritize key business problems for data-driven solutions. Design and implement advanced machine learning algorithms and models, including deep learning approaches. Optimize and automate data pipelines, including data acquisition, cleaning, and feature engineering. Lead the development and deployment of data science solutions into production environments. Evaluate and monitor model performance, refine models for continuous improvement. Develop and deliver compelling data visualizations and reports to communicate insights to stakeholders at all levels. Mentor and coach junior data scientists, fostering a culture of knowledge sharing and collaboration. Stay abreast of cutting-edge advancements in data science and machine learning, adapting and implementing new technologies to enhance solutions. Qualifications: Master's degree or PhD in statistics, computer science, mathematics, or a related field, preferably with a focus on data science or machine learning. 6+ years of experience as a data scientist or analyst, with a proven track record of successful project delivery. Extensive experience in all stages of the data science lifecycle, from problem definition and data acquisition to model deployment and performance monitoring. Expertise in programming languages such as Python, R, and SQL, with experience in advanced libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong leadership and communication skills, including the ability to present complex data analysis findings to diverse audiences. Proven ability to manage multiple projects simultaneously and prioritize tasks effectively. Collaborative and adaptable, thriving in a fast-paced and dynamic environment.
Summary: We are seeking a highly experienced and accomplished Data Scientist to join our team as a leader and mentor. You will spearhead critical data-driven initiatives, tackling complex business challenges and uncovering valuable insights from our vast data assets. With 6+ years of proven success in the field, you will guide junior team members, collaborate effectively across departments, and champion a culture of data-driven decision making. Responsibilities: Define and lead high-impact data science projects in alignment with business objectives. Identify and prioritize key business problems for data-driven solutions. Design and implement advanced machine learning algorithms and models, including deep learning approaches. Optimize and automate data pipelines, including data acquisition, cleaning, and feature engineering. Lead the development and deployment of data science solutions into production environments. Evaluate and monitor model performance, refine models for continuous improvement. Develop and deliver compelling data visualizations and reports to communicate insights to stakeholders at all levels. Mentor and coach junior data scientists, fostering a culture of knowledge sharing and collaboration. Stay abreast of cutting-edge advancements in data science and machine learning, adapting and implementing new technologies to enhance solutions. Qualifications: Master's degree or PhD in statistics, computer science, mathematics, or a related field, preferably with a focus on data science or machine learning. 6+ years of experience as a data scientist or analyst, with a proven track record of successful project delivery. Extensive experience in all stages of the data science lifecycle, from problem definition and data acquisition to model deployment and performance monitoring. Expertise in programming languages such as Python, R, and SQL, with experience in advanced libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong leadership and communication skills, including the ability to present complex data analysis findings to diverse audiences. Proven ability to manage multiple projects simultaneously and prioritize tasks effectively. Collaborative and adaptable, thriving in a fast-paced and dynamic environment.