Sr. Data Scientist

Position: Sr. Data Scientist
Location: Boston, MA
Duration: Long Term contract to hire

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:

Job Requirement:
Mandatory Skills: Python, R, or Matlab, NumPy/Scikit-learn, Google Cloud Platform

Job Description
Key Technical Requirements:

To hit the ground running, you are comfortable across the entire engineering life cycle from system design to algorithm development to system testing and optimization, leading to a successful product launch. In particular:

• Proficiency in programming languages such as Python, R, or Matlab.
• Experience with radar data processing techniques and tools.
• Strong understanding of statistical methods and machine learning algorithms.
• Fluency in data science tools like NumPy/Scikit-learn, and cloud services (Google Cloud Platform).
• Implementing automation processes for repetitive tasks, and high-compute time activities
• Solid understanding of software development methodologies and version control systems.
• Strong analytical and problem-solving skills with a focus on system-level performance optimization.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and in a team environment. In addition,

While not essential, it is a definite plus if:

• You know RF engineering principles and practices.
• You have experience with radar hardware and systems.
• You know radar data visualization techniques and tools, such as waterfall plots, range-Doppler maps, or ParaView
• Familiarity with radar-specific data formats and protocols.
• You have experience with radar data simulation and modeling.
• You have machine learning experience, particularly in applying ML techniques to radar signal processing tasks.
• You have experience with one or more of the following: radar-to-image projection, image segmentation, video object detection, or target detection in radar signal
• Experience implementing and optimizing data augmentation techniques (e.g., image flipping, rotation, scaling, filtering, text synonym replacement, SMOTE) to enhance model performance and robustness.

Personal Qualities:

We d love you to be self-aware, thoughtful, empathetic, diligent, hard-working, a lifelong learner, and a great team player. You d show us that you have:

• Strong interpersonal skills and the ability, perhaps even a passion, to build camaraderie and work effectively on difficult goals with a broad range of business and technical collaborators across cultures and skills.
• Self-awareness to know your own superpower (nobody is great at all things) and the humility to permit others to exercise theirs on a team of accomplished specialists
• Respect and empathy to recognize and support the goals of the company, your team, and colleagues in ways that build trust for people to feel safe to disagree and commit (The Amazon Way)
• A work ethic that doesn t quit, that recognizes that time-to-market is often the only thing that separates teams that win from those that don t ( No matter how hard you work, someone else is working harder. Elon Musk)
• Tenacity and a dogged determination to never give up
• Innate hunger to constantly do better and evolve both your work product and yourself (You re a lifelong learner)
• The courage to move fast, break things, and ship products that people use ( Real artists ship. Steve Jobs)
• Exceptional communication skills characterized by meticulous attention to detail and precision in verbal and written expression. Consistently deliver clear, comprehensive, and precise information to ensure all team members are aligned and well-informed. Additionally, articulate the team's efforts and impact on other teams, cultivating close collaboration to achieve company-wide objectives.

Education and Experience:

• A Master's or PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
• 8 years of relevant experience in data science.
• Real-world work experience in relevant roles in a commercial setting.
• Ideally, full life cycle experience with an electronics product that has shipped and achieved meaningful commercial success.
• Preference for candidates with experience in a startup or fast-paced environment and exposure to ambient sensing and sensor fusion technologies.

You will be responsible for:

• Design and implement robust data pipelines tailored to radar data, including processing, cleaning, and transforming raw radar signals.
• Conduct exploratory data analysis to extract valuable insights specific to radar data, such as target detection, tracking, and classification.
• Explore and visualize data to identify patterns, trends, and relationships, providing actionable insights to stakeholders.
• Craft publication-quality data visualizations highlighting results and improvements
• Develop predictive models to support key business initiatives, integrating radar data with other data sources to provide comprehensive solutions.
• Collaborate closely with DSP and ML engineers to ensure seamless radar data processing algorithms integration into existing systems.
• Stay current with industry trends and best practices in radar data analysis, continuously enhancing the organization's capabilities in this domain.
• Clearly communicate technical concepts and progress not only within your team but also to other teams across the company.
• Ensure that all departments understand the work that you are doing and how it aligns with and supports the broader company goals.
• Develop and maintain documentation for design specifications, test plans, and user manuals.
• Stay up-to-date with the latest advancements in data science methodologies and technologies.

Why Join R Systems?

• Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
• Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
• Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
• Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
• E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
• Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.