<\/h3>Job Summary<\/span>
<\/h3>The Sr. Data Scientist supports the development and implementation of data science projects, including the design and development of algorithms and models. This role involves analyzing large datasets, extracting insights, and collaborating with cross -functional teams to deliver high -quality data science solutions.<\/span>
<\/p>
Responsibilities and Duties<\/span>
<\/h3>Support the development and implementation
of data science projects, including the design and development of algorithms
and models.<\/span><\/span>
<\/span><\/span><\/li>Collaborate with stakeholders to understand
business requirements and translate them into data science solutions.<\/span><\/span>
<\/span><\/span><\/li>Analyze large datasets to extract insights,
identify trends, and support decision -making.<\/span><\/span>
<\/span><\/span><\/li>Develop and validate predictive models,
machine learning algorithms, and statistical analyses.<\/span><\/span>
<\/span><\/span><\/li>Ensure the accuracy, quality, and relevance
of data science outputs.<\/span><\/span>
<\/span><\/span><\/li>Stay updated with the latest advancements
in data science and machine learning, applying them to enhance solutions.<\/span><\/span>
<\/span><\/span><\/li>Mentor and provide guidance to junior data
scientists and other team members.<\/span><\/span>
<\/span><\/span><\/li>Ensure compliance with data governance,
security, and regulatory standards in all data science activities.<\/span><\/span>
<\/span><\/span><\/li>Prepare and present data science reports
and documentation to senior management and stakeholders.<\/span><\/span>
<\/span><\/span><\/li>Participate in project planning and
contribute to the development of project timelines and deliverables.<\/span><\/span>
<\/span><\/span><\/li>Perform other duties relevant to the job as
assigned by the Principal Data Scientist or senior management.<\/span><\/span>
<\/span><\/li><\/ul>
<\/div><\/span>
Requirements<\/h3>
<\/span><\/span><\/div>Bachelor’s degree in Data Science, Computer
Science, Statistics, or a related field<\/span><\/span>
<\/span><\/span><\/li>Relevant certifications (e.g., Certified
Data Scientist, Google Cloud Professional Data Engineer) are preferred<\/span><\/span>
<\/span><\/span><\/li>Minimum of 5 years of experience in data
science or related fields<\/span><\/span>
<\/span><\/span><\/li>Experience in developing and implementing
data science solutions for AI or technology -focused products<\/span><\/span>
<\/span><\/span><\/li>Strong programming skills in languages such
as Python, SQL<\/span><\/span>
<\/span><\/span><\/li>Proficiency in data science tools and
frameworks (e.g., TensorFlow, PyTorch, Scikit -learn)<\/span><\/span>
<\/span><\/span><\/li>Excellent problem -solving and analytical
skills<\/span><\/span>
<\/span><\/span><\/li>Strong communication and interpersonal
skills<\/span><\/span>
<\/span><\/span><\/li>Attention to detail and commitment to
quality<\/span><\/span>
<\/span><\/span><\/li>In -depth understanding of data science
principles, machine learning algorithms, and statistical analysis<\/span><\/span>
<\/span><\/span><\/li>Familiarity with data visualization tools
(e.g., Tableau, Power BI)<\/span><\/span>
<\/span><\/span><\/li>Knowledge of data governance, security, and
regulatory standards<\/span><\/span>
<\/span><\/span><\/li>Ability to manage multiple tasks and
prioritize effectively<\/span><\/span>
<\/span><\/span><\/li>Strong attention to detail and commitment
to delivering high -quality work<\/span><\/span>
<\/span><\/span><\/li>Ability to work independently and as part
of a team<\/span><\/span>
<\/span><\/span><\/li>Programming languages (e.g., Python, R,
SQL)<\/span><\/span>
<\/span><\/span><\/li>Data science tools and frameworks (e.g.,
TensorFlow, PyTorch, Scikit -learn)<\/span><\/span>
<\/span><\/span><\/li>Data visualization tools (e.g., Tableau,
Power BI)<\/span><\/span>
<\/span><\/span><\/li>Collaboration and communication tools
(e.g., Slack, Microsoft Teams)<\/span><\/span>
<\/span><\/span><\/li>Data management systems (e.g., SQL, NoSQL
databases)<\/span><\/span>
<\/span><\/span><\/li><\/ul>
<\/div><\/span>
