Entry Level Data Scientist for Innovative Remote Opportunities with a Leading IT Firm

Introduction to Synergistic IT and Our Mission

Imagine being part of a dynamic team that is revolutionizing the IT industry with cutting-edge solutions and a commitment to excellence. At Synergistic IT, a full-service staffing and placement firm with over 12 years of experience in servicing clients across America, we are dedicated to fulfilling the IT needs of our clients with the highest quality services. From staffing to full project implementation, we strive to deliver exceptional outcomes, not just for our clients, but also for our employees, by helping them build solid careers in technology. We are now seeking an ambitious and skilled Entry Level Data Scientist to join our team in a fully remote capacity, offering the flexibility and modern work style that aligns with the future of work.

About the Role: Entry Level Data Scientist

This role is designed for a highly motivated individual with a strong foundation in data science and a passion for driving business success through data-driven insights. As an Entry Level Data Scientist at Synergistic IT, you will be at the forefront of analyzing complex data sets, identifying trends, and developing predictive models that inform strategic business decisions. Your work will contribute significantly to our mission of delivering exceptional IT services and building a solid career path for yourself in the technology industry.

Key Responsibilities

• Identify valuable data sources and automate collection processes to ensure data quality and integrity.
• Undertake preprocessing of structured and unstructured data, applying your knowledge of data manipulation and analysis techniques.
• Analyze large amounts of information to identify client trends and patterns, presenting findings in a clear and actionable manner.
• Develop and apply machine learning algorithms such as Classifier, Random Forest Classifier, Naive Bayes, Support Vector Machine, Linear Regression, Logistic Regression, and Decision Tree to solve complex problems.
• Utilize unsupervised/clustering algorithms and NLP models, as well as Deep Learning models for image classification, to drive innovation and excellence in data analysis.
• Collaborate with cross-functional teams to integrate data insights into business strategies, fostering a culture of data-driven decision-making.

Essential Qualifications

To excel in this role, you will need a combination of technical skills, analytical prowess, and excellent communication abilities. The ideal candidate will have:

• Hands-on experience with Python scripting and building Machine Learning and Artificial Intelligence models.
• A good knowledge of Exploratory Data Analysis (EDA) and experience working with platforms such as Microsoft Azure or Amazon Web Services.
• Familiarity with key libraries including NumPy, Pandas, Scikit-learn, Seaborn, Plotly, and TensorFlow, with the ability to perform data visualization using Tableau or Excel.
• Excellent English communication skills, both oral and written, along with strong reading comprehension and analytical skills.
• A degree in Computer Science, Computer Engineering, Information Systems, Information Technology, Electrical Engineering, or Mechanical Engineering, either at the Bachelor's or Master's level.

Preferred Qualifications

While not mandatory, experience or knowledge in the following areas will be considered an asset:

• Advanced machine learning techniques and deep learning frameworks.
• Cloud computing platforms beyond Azure and AWS, such as Google Cloud Platform.
• Big data technologies like Hadoop, Spark, or NoSQL databases.
• Agile development methodologies and version control systems like Git.
• Certifications in data science or related fields.

Skills and Competencies

Beyond technical skills, we are looking for individuals who possess a strong passion for learning, a keen analytical mind, and excellent problem-solving skills. The ability to work independently in a remote setting, manage time effectively, and maintain open communication channels with the team is crucial. A proactive approach to professional development, staying updated with the latest trends and advancements in data science, will also be highly valued.

Career Growth Opportunities and Learning Benefits

At Synergistic IT, we believe in fostering a culture of continuous learning and growth. As an Entry Level Data Scientist, you will have access to:

• On-job technical support to ensure your success in the role.
• Opportunities for professional development, including training and certifications in emerging technologies.
• A collaborative environment where knowledge sharing and mentorship are encouraged.
• A clear path for career advancement, with opportunities to take on more complex projects and leadership roles as you grow.

Work Environment and Company Culture

We pride ourselves on our dynamic and inclusive work environment, where diversity, equity, and inclusion are core values. Our remote work setup offers flexibility and autonomy, allowing you to manage your work-life balance effectively. We celebrate innovation, creativity, and teamwork, recognizing and rewarding outstanding performance and contributions to our mission.

Compensation, Perks, and Benefits

We offer a competitive salary package, along with a range of benefits designed to support your well-being and career aspirations. These include:

• Full-time position with job security and opportunities for growth.
• E-verified status and support for H1B and Green Card applications for eligible candidates.
• Access to cutting-edge technologies and tools to enhance your professional skills.
• A comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Conclusion and Call to Action

If you are a motivated and talented individual looking to launch or advance your career in data science, we invite you to join our team. This Entry Level Data Scientist position offers a unique opportunity to work with a leading IT firm, contribute to meaningful projects, and grow professionally in a supportive and innovative environment. Don't miss this chance to be part of a dynamic team that is shaping the future of IT services. Apply today and take the first step towards an exciting and rewarding career in data science!

Apply now and become a part of our journey to excellence!

Apply Now