Job Description

Job Description

Job Description

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and data analysis to extract insights from large datasets and solve complex business problems.

Responsibilities:

• Collect, clean, and prepare data for analysis.
• Develop and implement machine learning models for various tasks (e.g., classification, prediction, recommendation).
• Analyze data to identify trends, patterns, and insights.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Collaborate with engineers and other data professionals to build and deploy data-driven solutions.
• Stay up-to-date with the latest advancements in data science techniques and technologies.

Preferred Skills:

• Strong mathematical and statistical skills.
• Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience with data visualization tools (Tableau, Power BI).
• Excellent communication and presentation skills.
• Strong problem-solving and critical thinking skills.
• Ability to work independently and as part of a team.

Basic Qualifications:

• Active TS/SCI with poly clearance is required.
• Bachelors degree in Data Science, Statistics, Computer Science, or related field.
• 2+ years of experience in data science or a related role.
• Understanding of machine learning concepts and techniques.

Disclaimer:

The information provided in this job description is accurate and truthful to the best of our knowledge. However, it is not intended to be a contract, and we reserve the right to modify the job description at any time.

Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.

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