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Tiger Analytics is seeking seasoned Data Scientists to join our rapidly expanding advanced analytics consulting firm. Our consultants possess significant knowledge in Data Science, Machine Learning, and AI. We serve as the trusted analytics ally for several Fortune 500 companies, assisting them to extract business value from their data. Market research firms like Forrester and Gartner have acknowledged our business value and leadership. As we strive to build the premier global analytics consulting team, we're seeking top-tier talent.
As a Senior Data Scientist, you will have a crucial role in designing, crafting, and implementing data solutions, utilizing your analytical prowess to derive meaningful insights. Your tasks will also involve presenting your conclusions to both technical and non-technical stakeholders, and leading joint efforts within cross-functional teams.
Key Responsibilities:
- Develop scalable and effective data pipelines to facilitate collection, storage, and processing of vast quantities of both structured and unstructured data. You need to possess basic data engineering skills in Databricks, Pyspark environment.
- Apply sophisticated statistical analysis, machine learning, and data mining techniques to extract actionable insights from intricate datasets.
- Create and implement predictive, prescriptive, and inferential models to tackle business challenges and enhance decision-making.
- Collaborate with domain experts to comprehend business requirements and convert them into data-driven solutions.
- Exhibit complex technical ideologies and analytical findings effectively to both technical and non-technical stakeholders.
- Produce visually appealing presentations, reports, and dashboards to communicate insights and suggestions.
- Lead workshops, meetings, and discussions to promote understanding and agreement across teams.
- Offer strategic guidance and contribute to the creation of data-driven strategies within the organization.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Significant experience (6 to 8+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment.
- Experience using Graph data science concepts to solve business use cases is crucial. Familiarity with graph tools/packages like Neo4J, MemGraph, NetworkX, GraphFrame, iGraph, etc. is essential.
- High proficiency in data engineering tools and languages like SQL, Python, Scala, ETL frameworks, data warehousing.
- You should be comfortable and experienced in a Databricks, Spark environment.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, H2O) and data science libraries (e.g., SparkML) is required.
- Ability to create visualizations to present insights, metrics, and how this informs addressing the business challenge.
- Exceptional presentation and communication skills, with the capability to communicate technical concepts to non-technical audiences.
- Experience in a networking or communications domain is a plus.
- Experience collaborating with both technical and non-technical stakeholders on tasks such as solutioning, understanding other data domains in order to source data is crucial.
Benefits:
This position offers an excellent opportunity for considerable career growth in a challenging entrepreneurial environment with a high level of individual responsibility.
