Sr. Sales Data Scientist

Business Unit:

Global Distribution Operations

Reporting To:

Director, Sales Operations

Shift:

EMEA/UK (1:30 pm – 10:30 pm IST) (India)

About Russell Investments, Mumbai:

Russell Investments is a leading outsourced financial partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 87-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm is the world’s sixth-largest investment adviser, with $1 trillion in assets under advisement (as of June 30, 2022) and $288.3 billion in assets under management (as of March 31, 2023) for clients in 30 countries. Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai – and has opened a new office in Mumbai, India in June 2023.

Joining the new Mumbai office is an incredible opportunity to work closely with global stakeholders to support the technology and infrastructure that drives the investment and trading processes of a globally recognized asset management firm. Be one of the first to join this new team based out of Goregaon (East) in Mumbai and be a part of creating the foundation and culture for the firm’s growing operations in India. The Mumbai office operates 5-days a week from Monday to Friday with varying shifts to accommodate time zones around the world.

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Job Description:

As a Data Scientist, you will be critical to our organization's data management strategy. You will be responsible for developing and maintaining data pipelines, databases, and ETL (Extract, Transform, Load) processes to ensure that our data is accessible and accurate for analysts and other business stakeholders. Your work will contribute to informed decision-making and the overall success of our data-driven initiatives.

Years of Experience

3+ years work in Data Engineering and Data Science work

5+ years work experience in business analytics and reporting

5+ years work experience with and strong knowledge of Excel, SQL and relational databases is required

Qualifications

Bachelor’s degree required, preferably in Computer Science, Data Science, Analytics, or a related Information Technology/Engineering discipline

Responsibilities

Data Pipeline Development: Design, build, and maintain data pipelines to extract, transform, and load data from various sources into data warehouses or other storage solutions.

Data Integration: Collaborate with cross-functional teams to integrate data from different sources, ensuring data consistency and accuracy.

Database Management: Administer and optimize databases for performance, scalability, and security. This may involve working with relational databases (e.g., SQL Server, PostgreSQL) or NoSQL databases (e.g., MongoDB, Cassandra).

Data Modeling: Create and manage data models and schema designs to support data analysis and reporting requirements.

Data Quality Assurance: Implement data quality checks and monitoring to identify and rectify issues or anomalies in the data.

Data Documentation: Maintain documentation for data pipelines, data dictionaries, and data lineage to ensure transparency and knowledge sharing.

Performance Optimization: Monitor system performance and identify areas for optimization in terms of query performance, data processing speed, and storage efficiency.

Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide them with the necessary tools and data sets.

Manipulate massive data sets using Python / SQL to identify and prioritize optimization opportunities

Create critical reporting dashboards in Power BI to monitor core KPIs in real time

Deliver impactful analysis regarding key market forces and apply analytics to present tangible business problems/actions (e.g. seasonality, competitor actions, partner marketing strategy)

Communicate complex analytical topics in a clean and simple way to team

Automate and/or streamline repetitive processes to improve individual and team productivity

Use statistics, distributions and confidence intervals to support decisions based on data and implement solutions

Troubleshoot and identify root cause of operational issues (e.g., data quality, critical process degradation)

Data Analysis: Explore and analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights.

Model Development: Build and refine predictive models using statistical and machine learning techniques to solve specific business problems.

Data Preprocessing: Prepare and clean data for analysis, addressing missing values, outliers, and other data quality issues.

Experimentation: Design and conduct A/B tests or experiments to evaluate the impact of changes or interventions.

Candidate Requirements

Proficiency in programming languages such as Python, Java, Scala, or similar for data processing and scripting.

Strong experience with data warehouse technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake) and ETL tools (e.g., Apache Nifi, Talend).

Database management skills, including SQL proficiency.

Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).

Strong problem-solving and analytical skills.

Excellent communication and teamwork abilities.

Understanding of data governance and compliance best practices.

Core Values

Strong interpersonal, oral, and written communication and collaboration skills with all levels of management

Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines,

Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.

Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.

Exemplifies our customer-focused, action-oriented, results-driven culture.

Forward looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.

Ability to act with discretion and maintain complete confidentiality.

Dedicated to the firm’s values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.

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