Remote Entry-Level Data Scientist & Java Full‑Stack Developer – Launch Your Analytics & Software Engineering Career with SynergisticIT

```html About SynergisticIT – Your Career Catalyst At SynergisticIT , we are more than a staffing firm; we are a dedicated partner in building lasting technology careers. Since 2010, our mission has been to bridge the widening gap between today’s hyper‑competitive tech job market and the talent hungry for real‑world impact. With a proven track record of placing candidates at industry giants such as Apple, Google, PayPal, Visa, Walmart Labs, and many more, we understand the nuances that make a candidate stand out to a hiring manager. Whether you are a recent graduate, an OPT/H‑4/EAD holder, or an experienced professional transitioning into a new discipline, we champion every candidate’s potential and provide the resources necessary to turn ambition into measurable success. Why This Role Is a Game‑Changer Our client ecosystem is rapidly expanding its appetite for remote talent that can hit the ground running. The position we are advertising blends two of the most in‑demand skill sets on the market: data science and Java full‑stack development. As a remote, entry‑level professional, you will be embedded in high‑visibility projects that directly influence product strategy, data‑driven decision‑making, and scalable software solutions. The role provides a springboard into a career path that can evolve into senior data science, machine learning engineering, or full‑stack architecture—depending on where your passion lies. Core Responsibilities – What Your Day Could Look Like Data Exploration & Preparation: Clean, transform, and validate large‑scale datasets using Python, pandas, NumPy, or SAS to ensure reliability for downstream analysis. Statistical Modeling & Analysis: Apply descriptive and inferential statistical techniques, develop predictive models, and evaluate model performance using cross‑validation and appropriate metrics. Machine Learning Prototyping: Build, test, and iterate on supervised and unsupervised learning pipelines (e.g., regression, classification, clustering) with scikit‑learn, TensorFlow, or PyTorch. Java Application Development: Design, code, and maintain robust Java services, adhering to clean‑code principles, SOLID design patterns, and industry‑standard architecture. Micro‑services & API Integration: Develop RESTful APIs using Spring Boot, containerize services with Docker, and orchestrate CI/CD pipelines via Jenkins or GitHub Actions. Collaboration & Agile Practices: Participate in daily stand‑ups, sprint planning, and retrospectives within a Scrum framework, delivering incremental value each iteration. Visualization & Reporting: Create compelling dashboards and data visualizations in Tableau, Power BI, or custom JavaScript libraries (e.g., D3.js) to communicate insights to non‑technical stakeholders. Documentation & Knowledge Sharing: Maintain clear technical documentation, contribute to internal wikis, and mentor peers in best practices around coding standards and data hygiene. Essential Qualifications – The Baseline for Success Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a closely related technical field. Demonstrated academic or project‑based experience with Java (Core, Collections, Streams) and an understanding of the full software development lifecycle. Hands‑on exposure to at least one modern web framework (e.g., Spring Boot, Jakarta EE) and familiarity with building/consuming RESTful services. Practical experience with data‑science toolkits: Python (pandas, scikit‑learn), SAS, or R, and a solid grounding in statistical concepts. Completion of a capstone, internship, or personal project that showcases end‑to‑end implementation of a data‑driven solution or Java‑based application. Strong problem‑solving abilities paired with an enthusiastic, self‑directed learning mindset. Excellent verbal and written communication skills, enabling clear articulation of technical concepts to diverse audiences. Preferred – Nice‑to‑Have Skills That Will Set You Apart Exposure to container orchestration platforms such as Kubernetes. Experience with cloud services (AWS, Azure, Google Cloud Platform) and infrastructure‑as‑code tools like Terraform. Familiarity with Natural Language Processing (NLP), computer vision, or time‑series analysis. Proficiency in front‑end technologies (JavaScript, React, Angular) for full‑stack capability. Knowledge of data‑visualization libraries (Matplotlib, Seaborn, Plotly) and BI tools (Tableau, Power BI). Certifications such as Oracle Certified Professional Java SE, AWS Certified Cloud Practitioner, or Google Data Analytics Certificate. Skills & Competencies – What Makes a High‑Performing Candidate Analytical Rigor: Ability to ask the right questions, design experiments, and interpret results with statistical confidence. Code Discipline: Writing clean, modular, and testable code, leveraging unit testing frameworks (JUnit, pytest) and adhering to version‑control best practices (Git). Collaboration: Comfortable working in cross‑functional teams, embracing feedback, and contributing to a culture of continuous improvement. Adaptability: Quick to adopt new languages, frameworks, or methodologies as project needs evolve. Customer‑Centric Mindset: Translating business requirements into technical solutions that deliver real value for end users. Career Growth – Your Pathway to Senior Roles SynergisticIT is committed to your long‑term development. Within the first six months, you will gain exposure to production‑grade data pipelines and enterprise‑level Java services. As you demonstrate proficiency, you can pursue accelerated tracks: Data Scientist → Machine Learning Engineer → AI Architect Java Developer → Full‑Stack Engineer → Solutions Architect Technical Lead → Engineering Manager → Director of Technology We partner with industry‑leading mentors, provide access to premium online learning platforms (Coursera, Udacity, Pluralsight), and fund certifications that align with your career aspirations. Our internal talent community also hosts quarterly hackathons, innovation labs, and speaker series featuring senior engineers from our client network. Learning & Development Benefits Dedicated skill‑enhancement programs for candidates who need to close gaps in Java, cloud, or data‑science competencies. Sponsored attendance at premier conferences (Oracle CloudWorld, Gartner Data & Analytics Summit, AWS re:Invent). One‑on‑one coaching sessions focused on interview preparation, resume optimization, and personal branding. Access to a curated library of case studies, whitepapers, and technical webinars. Work Environment & Culture – Thrive Remotely Our remote‑first philosophy puts trust at the core of every interaction. You will join a diverse, inclusive community where: Flexibility is the norm—set your own schedule as long as you meet sprint commitments. Collaboration occurs on modern platforms (Slack, Microsoft Teams, Miro) that simulate the energy of an in‑person office. Transparency is celebrated; leadership shares quarterly business updates, product roadmaps, and market insights. Employee‑resource groups (ERGs) celebrate cultural heritage, LGBTQ+ allies, veterans, and women in tech. Well‑being is prioritized through mental‑health stipends, virtual fitness challenges, and regular “coffee‑chat” check‑ins. Compensation, Perks & Benefits – What We Offer While exact figures vary by location and experience, successful candidates can expect a competitive base salary aligned with market standards for entry‑level data and Java roles. In addition, our total rewards package includes: Performance‑based bonuses and quarterly incentive programs. Health, dental, and vision insurance with employer contributions. Retirement savings plan with matching contributions. Paid time off (PTO), holidays, and a flexible vacation policy. Remote work stipend covering home‑office furniture, high‑speed internet, and ergonomic accessories. Professional development budget for certifications, courses, and conference travel. Visa sponsorship support for OPT, H‑1B, L‑2, and green‑card pathways, including STEM extension assistance. Application Process – Transparent & Candidate‑Friendly We value your time and aim for a straightforward hiring journey: Submit Your Application: Use the “” button below to upload your resume, cover letter, and any relevant project portfolios. Initial Screening: A talent acquisition specialist will review your materials and confirm basic eligibility. Technical Assessment: You will receive a short, real‑world coding challenge (Java) and a data‑analysis case study (Python or SAS). Virtual Interview: Face‑to‑face conversation with a senior engineer and a hiring manager to discuss experience, problem‑solving approach, and cultural fit. Final Review & Offer: Successful candidates receive a formal offer, visa assistance (if needed), and onboarding details. We do not entertain unsolicited phone calls; all communication will be conducted via email or the secure candidate portal. Ready to Accelerate Your Tech Journey? If you are a motivated, technically curious individual eager to apply data science insights and Java development expertise to real‑world challenges, this is your moment. Join a community that celebrates growth, rewards initiative, and opens doors to some of the world’s most innovative tech enterprises. Apply Now – Start Your Adventure with SynergisticIT ``` Apply for this job