Data Scientist

Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 30+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work.

Consistently ranked among the top ten “Best Firms to Work For” and Engineering News-Record’s top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that embraces and promotes diversity, equity and inclusion; prioritizes wellbeing, health and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.

Job Summary

Langan is seeking a Data Scientist to join its collaborative Information Technology team in Parsippany, NJ. This individual will serve a key function in researching and developing statistical learning models for data analysis using data visualization techniques and tools.

Job Responsibilities

• Researches and develops statistical learning models for data analysis and performs manipulations and visualization of business data using visualization tools and techniques;
• Collects and interprets data and provides analysis and recommendations;
• Performs data analysis to discover trends and patterns;
• Works alongside teams within the business or the management team to establish business needs;
• Develops custom data models and algorithms to apply to data sets;
• Develops processes and tools to monitor and analyze model performance and data accuracy; and
• Performs other duties as requested.

Qualifications

• Bachelor’s degree in Computer Science, Management Information Systems or a related field;
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets;
• Proficiency in PowerBI\Tableau or other data visualization tools and Microsoft Office (Access, Excel, PowerPoint and Word);
• Strong understanding of data mining techniques and an ability to apply these techniques in real-world business issues;
• Knowledge of a variety of machine learning techniques and their real-world advantages and drawbacks;
• Experience in data models and reporting packages and ability to write comprehensive reports;
• Ability to analyze large data sets;
• Technical experience with SAP Analytics technologies: S/4HANA Embedded Analytics, BW/4HANA, SAP Fiori is a plus;
• Excellent written and verbal communication skills;
• Strong attention to detail with excellent, analytical, multitasking, and judgment capabilities; and
• Ability to effectively work independently and in a team environment.

Langan provides a rich array of programs and benefits to help its employees advance their careers and enhance the quality of their lives. Our comprehensive compensation package includes: full-time employment company paid medical, dental, and vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy disability leave; 401(k)/Roth with company match; paid time off including parental and military leave; employee referral and professional license bonuses; and educational reimbursement.

Langan offers employee resource groups; flexible work schedules; extensive training; wellness programs; buddy and mentoring programs; and much more!

Langan is an affirmative action / equal opportunity employer committed to building a team that represents and values diverse backgrounds. Langan promotes a positive work environment of inclusion, where we respect each other’s differences and recognize that a diverse, equitable and inclusive environment is a key to our success.