Data Scientist

Basking Ridge, NJ

Who We Are:

Excelacom has a global presence in the consulting and technology solutions industry with a focus on Communications and Media providers. We collaborate with our clients to solve their complex business, technology and operational challenges through a combination of consulting expertise and telecom-focused solutions and products. Excelacom provides extensive experience in product development, IT consulting, telecom-focused software and managed services, as well as strategic management and thought leadership to steer our clients towards a successful business and technology transformation.

At Excelacom, we recognize that our most valuable asset is our people. We strive to create an environment where our employees can contribute their unique perspectives and grow individually and collectively. Our diverse and inclusive culture empowers our people to embrace their ideas and transform them into innovative solutions.

Who You Are:

At the Consultant-level, you will be expected to independently contribute ideas, recommendations, and solutions toward solving business challenges, construct key components of deliverables/presentations, and contribute to the development of Intellectual Capital (IC) and Marketing Collateral. You will serve as a team leader for individual work streams and acquire a comprehensive understanding of the firm’s expertise, product set, and capabilities. Most importantly, you will embrace our firm’s brand and core values.

Role and Responsibilities:

You may work on various projects throughout your career with Excelacom. The roles and responsibilities noted below pertain to the specific role listed above.

• Specialize in data driven, advanced analytics approaches to solving client problems
• Build everything from basic reports to advanced machine learning models and algorithms to drive improvements to our client’s operations
• Deliver advisory services to Excelacom Senior Management on how machine learning can be leveraged to enable business improvements
• Build solutions from understanding business problems, to collecting datasets, to analyzing data, to modeling, to validating, to delivering models, and producing insights for our clients
• Ability to quantify the business value of ML projects
• Prepare solutions and proposals and present to clients
• Responsible for individual projects in order to determine, define, and deploy machine learning and data analytics technologies to meet business objectives
• Proactively research data and identify opportunities to drive the product roadmap
• Leveraging Excelacom’s domestic and international assets and expertise to bring new ideas to clients

Required Qualifications:

• Master’s degree or equivalent in Machine learning or Data Science
• Project experience using Supervised and Unsupervised ML algorithms, NLP and Text Mining, Anomaly Detection
• 3 years of experience developing ML solutions using Python, TensorFlow, Scikit-learn, Pandas
• Prior consulting experience with a leading strategy firm, consulting practice, or consulting technology firm
• Excellent writing, presentation and communications skills
• Strong verbal and written communication skills with the ability to interact with technical and non-technical personnel
• Ability to communicate and build relationships with Directors, VPs, etc.
• Ability to work in a highly intensive timeline environment with minimal guidance.
• Demonstrate experience eliciting requirements using interviews, document analysis, business process reviews, and task and workflow analysis.
• Analyze and de-conflict requirements, data and information from multiple data sources and decompose them into detailed requirements.

EEO Statement:

Excelacom, Inc. is an equal opportunity employer. Any decision affecting employment, compensation, promotion, or transfer will be based solely on personal qualifications and merit, regardless of sex, race, color, religion, gender identity, sexual orientation, marital status, national origin, disability, age, results of genetic testing, service in the military, pregnancy, childbirth or other related medical conditions or any other factor protected under applicable law.