2 Remote Lead Data Scientist Predictive Analytics jobs in whatjobs
Remote Lead Data Scientist - Predictive Analytics
Posted 20 days ago
Job Viewed
Job Description
Our client, a pioneering analytics firm dedicated to driving business growth through data intelligence, is seeking an accomplished Lead Data Scientist to spearhead our remote-first data science initiatives. This position offers the unparalleled flexibility to lead groundbreaking projects from anywhere in the world. You will be responsible for developing advanced predictive models, driving data-driven decision-making across various business functions, and mentoring a team of talented data scientists. Your insights will directly impact strategic planning and operational efficiency, leveraging sophisticated machine learning techniques and big data technologies.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of predictive models and machine learning algorithms to solve complex business problems.
- Design and execute advanced statistical analyses and experiments to extract actionable insights from large datasets.
- Collaborate with business stakeholders to understand their needs and translate them into data science projects.
- Mentor and guide junior data scientists, fostering best practices in modeling, validation, and deployment.
- Evaluate and select appropriate machine learning techniques, tools, and platforms.
- Develop and maintain robust data pipelines for model training and inference.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data strategy and roadmap for the organization.
- Ensure the ethical and responsible use of data in all analytical endeavors.
- Collaborate with data engineers and software developers to deploy models into production environments.
Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of progressive experience in data science, with a strong track record in predictive modeling and machine learning.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
- Strong understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and leadership skills, with the ability to guide and inspire a remote team.
- Proven ability to manage complex data science projects from conception to completion.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Data Scientist - Predictive Analytics
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Lead Data Scientist to drive their predictive analytics initiatives in a fully remote capacity. This is a critical role where you will lead a team of data scientists, conceptualize and execute advanced machine learning models, and translate complex data insights into actionable business strategies. You will be at the forefront of leveraging big data to forecast trends, optimize operations, and identify new revenue opportunities. Your responsibilities will include developing and deploying predictive models, designing experiments, and collaborating closely with cross-functional teams, including product management, engineering, and marketing, to integrate data-driven solutions. As a leader, you will mentor junior data scientists, foster a culture of innovation, and ensure the highest standards of scientific rigor and ethical data usage. This position demands a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques, coupled with exceptional programming skills in languages like Python or R. The ability to communicate complex findings to both technical and non-technical audiences is paramount. This role is entirely remote, providing the flexibility to work from any location. We are looking for a strategic thinker with a passion for solving challenging problems using data and a proven ability to lead and inspire a high-performing team in a virtual setting. If you are an innovative data scientist looking to make a significant impact, this opportunity is ideal. Our client is committed to data privacy and security in all their operations.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and deployment of predictive models and machine learning algorithms.
- Design and implement data-driven experiments to test hypotheses and generate insights.
- Mentor and guide a team of data scientists, fostering their professional growth.
- Collaborate with engineering teams to build robust data pipelines and productionize models.
- Communicate complex analytical findings and recommendations to stakeholders.
- Identify opportunities to leverage data for business improvement and innovation.
- Stay current with the latest advancements in data science and machine learning.
- Ensure the ethical and secure handling of data.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a focus on predictive modeling and machine learning.
- Proven leadership experience in managing data science teams.
- Expertise in Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Excellent understanding of statistical concepts and experimental design.
- Exceptional communication and presentation skills.
- Experience working in a fully remote environment is a plus.
This advertiser has chosen not to accept applicants from your region.
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