Data Science
Job Title: Data Scientist (All Levels – Entry to Senior)
Location: Multiple Locations / Hybrid / Remote Options Available
Employment Type: Full-Time
About Us:
At The Brassavola Group, we connect data-driven professionals with top companies across industries including tech, healthcare, finance, retail, energy, and defense. We are currently hiring Data Scientists at all levels, from recent graduates to seasoned experts, to support a wide range of analytical, predictive, and AI/ML initiatives. Whether you're passionate about building models, uncovering insights, or leading enterprise-level data strategies, we have opportunities aligned with your goals.
Position Overview:
As a Data Scientist, you will play a critical role in transforming raw data into actionable insights that drive strategic decision-making and innovation. Depending on your experience, responsibilities may range from data wrangling and exploratory analysis to deploying production-ready machine learning models and shaping data roadmaps. You’ll work with stakeholders across functions, leveraging statistical, programming, and domain knowledge to solve complex business problems.
Key Responsibilities (May Vary by Experience):
Collect, clean, and analyze large datasets to identify trends and patterns
Develop and implement statistical models, machine learning algorithms, or AI solutions
Visualize data and communicate findings through dashboards, reports, or presentations
Collaborate with data engineers, product managers, and business leaders
Design experiments, validate hypotheses, and conduct A/B testing
Contribute to model deployment and performance monitoring (senior-level roles)
Mentor junior team members and lead data initiatives (senior-level roles)
Qualifications:
Entry-Level:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
Strong foundation in Python, R, SQL, and statistical modeling
Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Solid understanding of data visualization tools (e.g., Tableau, Power BI, matplotlib)
Internship or academic project experience preferred
Mid-Level:
3–5 years of experience applying data science techniques in real-world settings
Proficiency in building predictive models and interpreting complex data
Experience working with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop)
Strong communication skills for presenting technical findings to non-technical audiences
Senior-Level:
6+ years of data science experience, including leading teams or strategic projects
Expertise in advanced modeling techniques, deep learning, or NLP
Proven ability to guide data science roadmaps and influence organizational strategy
Strong business acumen and cross-functional collaboration skills
Experience in production-level model deployment and lifecycle management
Preferred Industry Experience:
Finance, healthcare, retail, manufacturing, energy, or government analytics
AI/ML applications in automation, forecasting, recommendation systems, or fraud detection
Data privacy, compliance, and ethical AI practices
Why Work With Us?
Access to high-impact projects with industry-leading organizations
Career growth tailored to your technical and leadership goals
Competitive salary, flexible work options, and comprehensive benefits
A collaborative, data-focused culture committed to innovation and excellence
Apply Today:
Whether you're launching your data science career or bringing years of expertise, The Brassavola Group offers opportunities that match your ambitions. Submit your resume and explore what’s next in your data-driven journey.