Senior Data Scientist
Senior Data Scientist
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Job Description
Overview
Key responsibilities
- Lead the development and implementation of data science solutions for complex business problems.
- Utilize advanced data mining and machine learning techniques to gather analyze and interpret large datasets.
- Develop and deploy predictive models and algorithms to enhance decisionmaking processes.
- Lead the design and implementation of experiments to test hypotheses and optimize models.
- Provide strategic guidance and mentorship to junior data scientists and analysts.
- Collaborate with crossfunctional teams to identify datadriven opportunities and provide actionable insights.
- Develop and maintain scalable data pipelines and datadriven applications.
- Contribute to the development and implementation of AI and machine learning infrastructure.
- Stay current with industry trends and best practices in data science and machine learning.
- Communicate findings and insights to stakeholders in a clear and compelling manner.
- Contribute to the continuous improvement of data science processes and methodologies.
- Conduct indepth analyses to derive insights and drive databased decisionmaking.
- Lead the development and implementation of data governance and data quality initiatives.
- Participate in the hiring and talent development of the data science team.
Required qualifications
- Masters or Ph.D. in Computer Science Statistics Mathematics or related field.
- Proven experience as a data scientist or similar role with a strong track record of delivering impactful data science solutions.
- Proficiency in programming languages such as Python R or Java.
- Expertise in machine learning statistical analysis and data visualization techniques.
- Solid understanding of advanced mathematical and statistical concepts.
- Experience with big data technologies such as Hadoop Spark or Hive.
- Strong problemsolving and critical thinking skills.
- Ability to work effectively in a collaborative crossfunctional team environment.
- Excellent communication and presentation skills to effectively convey complex findings and insights.
- Experience with data manipulation and analysis tools such as SQL Pandas or NumPy.
- Proven ability to lead and mentor junior data scientists and analysts.
- Experience in designing and implementing scalable data science solutions.
- Strong attention to detail and commitment to delivering highquality work.
- Knowledge of data governance and data quality best practices.
- Relevant certifications in data science machine learning or related fields are a plus.
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Employment Type
Full Time
Company Industry
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
