* 8 to 15 years of experience in Business Analysis in the transportation domain with at least 2+ years in the US railroads. * Preference would be given to candidates with deep domain knowledge of US railroads. * Hands-on experience in systems like locomotive management, railroad freight management, pricing revenue modules, Interland settlement process would be ideal. * BS/MS with MBA (Preferred). * Proficient in MS Office, with emphasis on Visio and MS Excel. * Understanding of data integration issues. * Familiarity with complex data and structures. * Knowledge of physical and logical data modelling concepts. * A self-starter, can-do attitude i.e. What areas can I apply myself in and take ownership/responsibility and to be the go-to person in those areas * Flexibility needs to be comfortable and effective in various roles (wear different hats) as well as the ability to go broad and/or deep as needed. * Must be comfortable with high levels of ambiguity and be willing to make reasoned decisions. * A highly collaborative working style * An ability to quickly absorb business processes and systems that implement those processes * An ability to work with geographically distributed teams * Ability to engage with diverse audience from business users to CXOs * Proficient in presentations, written and verbal communication * Ability to collaborate cross-functionally with individuals in a wide variety of disciplines and backgrounds and build strategic relationships. * Travel 30%- To USA on Business Visa Please share your profile at firstname.lastname@example.org
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems
Job Summary: In this position, you will manage and provide technical leadership of the product team. Leadership, communication, prioritization and a focus on excellence are essential characteristics for this role Responsibilities and Duties: - Manage (recruit, motivate, develop, strengthen) the product engineering team - Mentor and lead the engineering team as a subject matter expert for all technology and architecture related issues. - Architect, Design, Develop & Implement frameworks and application software components using Cloud and Enterprise/Open Source technologies - Be accountable for the overall technical excellence and quality of the platforms - Should be proactive and enhance existing software architecture by analyzing and identifying areas - Create and Manage technology strategy that can serve the business strategy - Low burn, highly iterative new product development and testing - 80/20 rule: effectively create low resource high impact technology solutions - Future ready: always looking to disrupt and challenge the status quo Required Experience, Skills and Qualifications: - B.E in Computer Science or equivalent with demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership - Articulates a clear technology vision that is inspiring and aligned with business needs and Experienced in articulating the business goals and cascading them down the organization appropriately so that every person in the organization is appropriately stretched to achieve outcomes - Minimum of 8 – 10 years of progressive experience in software engineering out of which 70% should be in startup companies / environment, leadership capacity and experience across variety of technology stacks (from Conception to Go-Live). Ability to work efficiently in an entrepreneurial and in a startup environment. - Strong experience in building and deploying Enterprise grade products - Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies - Strong experience in RDBMS & preferably worked with NoSQL & Hadoop as well and worked across multiple platforms (Front-end, Middleware) - Well versed in technologies like Angular, Core JS, Java, Python, etc.
Person should have more than 5 years of Product Management experience. We are willing to offer handsome equity to a suitable candidate.