Sphere Partners is a technology and management consulting firm focusing on digital, data and engineering transformation for our customers. We are a 100% virtual organization with presence across various continents.
We are strategically scaling our AI, analytics and data practice with leaders and practitioners, to that effect, we are hiring top talent from the industry, a sample of our leadership here and the kind of role he is engaged in.
With our unwavering commitment to excellence, we are rapidly expanding our suite of consulting services, augmenting our geographic presence, and honing our industry expertise. We stand at the precipice of an exciting new chapter, poised to establish ourselves as a renowned name in the realm of technology consulting. Now we are looking for a Data Scientist and AI specialist to join our team.
Location: Anywhere, Remotely
Start Date: ASAP
Responsibilities include but are not limited to:
- Collaborate with business stakeholders to understand their challenges and objectives;
- Translate business requirements into well-defined data science and AI use cases with quantifiable outcomes;
- Apply machine learning algorithms to solve complex business problems, delivering tangible results;
- Develop data-driven solutions to enhance operational efficiency and decision-making;
- Develop frameworks to articulate technical requirements and estimate efforts for data engineering projects;
- Lead the end-to-end delivery of data science and AI projects, ensuring successful implementation;
- Manipulate and preprocess data for analysis, identifying patterns and trends through statistical analysis;
- Develop and refine machine learning models, employing supervised and unsupervised learning techniques;
- Transform raw data into meaningful features that enhance model performance;
- Select and extract relevant information to improve the predictive power of machine learning models;
- Utilize data visualization tools and techniques to communicate insights effectively to non-technical stakeholders;
- Create visual representations that highlight patterns, trends, and actionable insights;
- Write clean, efficient, and well-documented code for data analysis and model development.
- Experience with programming languages like Python, R, or similar languages;
- Experience in machine learning, data science and AI technologies;
- Experience in data science and AI algorithms and in practical use of the same in solving various business use cases with quantified outcome (must have);
- Experience in creating meaningful features from raw data (critical skill);Experience in articulation and estimation frameworks for all areas of data engineering;
- Experience in consulting and delivery areas for data governance;
- Experience with data manipulation, statistical analysis, machine learning algorithms, and model development;
- Experience with data visualization tools and techniques.
It will be a plus if you have:
- Experience in Banking, Insurance, Retail, Healthcare, Energy and other verticals;
- Experience in Customer, HR, Finance and supply chain analytics;
- Experience in creating whitepapers, blogs (speaking experience at C level events, webinars.