![InOrg Global](https://media.trabajo.org/img/noimg.jpg)
Data Scientist
6 days ago
We prioritize building trust in every aspect of our business, fostering relationships based on integrity and reliability.Transparency:
We believe transparent practices ensure accountability, build credibility, and foster a culture of trust and collaborationAdaptability:
We thrive in dynamic and evolving environments, embracing change with flexibility and resilienceInnovation:
Innovation is at the heart of everything we do. We encourage creativity, curiosity, and forward thinking to drive continuous improvement and solve complex challengesSystem Designation: Data ScientistLocation: RemoteExperience: 1 – 3 YearsOverview:
Data Scientist plays a critical role in developing advanced analytics models to solve complex business problems, leveraging expertise in Machine Learning, Deep Learning, and AI.Job Description:Develop
and implement statistical models and machine learning algorithms to
address complex business challenges and drive data-driven decision-making.Perform
exploratory data analysis, data cleaning, and preprocessing to prepare
datasets for effective modeling and analysis.Collaborate
with team members and stakeholders, ensuring the successful deployment and
integration of data-driven solutions within business processes.Actively
contribute to the team's knowledge sharing, providing guidance and
mentorship to junior data scientists and fostering a collaborative
learning environment.Conduct
model evaluation and validation, ensuring the accuracy, robustness, and
reliability of developed models.Stay
updated with the latest advancements in data science, machine learning,
and AI technologies, applying new techniques and tools as appropriate.Qualifications:Master's
degree in Computer Science, Statistics, Mathematics, or a related field,
with a focus on Machine Learning, Deep Learning, and AI.Proven
expertise in Python and its data science libraries (e.g., TensorFlow,
PyTorch, scikit-learn).Experience
with Business Intelligence (BI) & Data Engineering concepts and tools.Familiarity
with data platforms such as Snowpark and Dataiku is preferred.Skills:Proficiency
in Machine Learning, Deep Learning, and AI concepts and techniques, with
practical experience in developing and implementing models.Expertise
in Python, including extensive experience with libraries like TensorFlow,
PyTorch, and other relevant tools.Strong
analytical and problem-solving skills, with the ability to tackle complex
data challenges and derive meaningful insights.Effective
communication skills, capable of clearly conveying complex concepts to
both technical and non-technical stakeholders.Domain
knowledge in a particular industry, with the ability to apply technical
skills to solve real-world problems and enhance business processes.Ability
to work collaboratively in a team environment, with a proactive approach
to knowledge sharing and mentorship.Experience
with data visualization tools (e.g., Tableau, Power BI) is a plus.Understanding
of cloud platforms (e.g., AWS, Azure, GCP) and big data technologies
(e.g., Hadoop, Spark) is advantageous.InOrg Global is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences.If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team
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