Sr. Data Scientist
Apply on
Sr. Data Scientist
Python/R/Hadoop/Spark/Predictive models/ML/Power BI/Tableau
Client | Technology Partners Internal Project with end client |
Client Location | Dallas, TX area |
WORK location | Hybrid (work onsite at Client site in Dallas as Needed) |
Prefer local candidates Open to candidates that will relocate No relocation expenses paid | |
Term | 1 year |
Work Status | |
Rate | $80W2 |
Bonus
- $5,000 project success bonus upon completing the 6-month engagement. (Paid by our internal team. Technology Partners to the consult).
Required
- From the Dallas-Fort Worth or relocate/Occasional onsite meetings required.
- Master s or Ph.D. in Data Science, Computer Science, Statistics.
- Python, R, and SQL.
- Big data technologies like Hadoop, Spark, and Kafka.
- Azure data environments.
- Conduct light data engineering tasks (data integration, cleansing, and preparation).
- Expertise in developing and implementing predictive models, machine learning algorithms, and statistical analysis.
- Strong skills in data visualization tools (e.g., Power BI, Tableau) and storytelling with data
Preferred (Not required)
- Experience with sales data analytics
- Creating operational data triggers
Candidate Name | C-Phone | C-Email | Azure Years | Python/R Years | PowerBI Tableau Year | Hadoop Spark Kafka. | Predictive Models, ML Algorithms Years | Master s/ Ph.D. | C- Location | Rate W2 +5 Fee | Your email | ||
10/25/24 |
Technology Partners is seeking a Senior Data Scientist to lead data-driven initiatives for Clements Fluids. This individual will play a key role in identifying gaps, prioritizing business needs, and delivering actionable insights through advanced analytics, visualizations, and machine learning models. The ideal candidate will collaborate closely with business leaders, including the CEO, to create impactful data solutions that support strategic decision-making and sales enablement.
Responsibilities
Weeks 1-2: Collaborate with the CEO and team to identify gaps in sales and strategic decision-making.
Weeks 3-4: Prioritize identified gaps by assessing data availability, expected business impact, and stakeholder alignment.
Months 2-6: Develop and deliver prioritized data solutions, including data visualizations and reports to support business narratives.
Create data triggers to alert the sales team based on key business events (e.g., project wins).
Implement machine learning models to enhance efficiency and decision
-making processes.
Continuously iterate on solutions based on business feedback and evolving needs.
Requirements
At least 5-7 years of experience as a Senior Data Scientist with a proven track record of delivering impactful data science solutions.
Proficiency in programming languages such as Python, R, and SQL. Experience with big data technologies like Hadoop, Spark, and Kafka.
Familiarity with cloud-based data environments (Azure preferred).
Ability to conduct light data engineering tasks (data integration, cleansing, and preparation).
Expertise in developing and implementing predictive models, machine learning algorithms, and statistical analysis.
Strong skills in data visualization tools (e.g., Power BI, Tableau) and storytelling with data.
Effective communicator with a collaborative mindset, capable of working closely with executives.
Ability to understand business challenges and translate them into data-driven solutions.
Experience in working with cross-functional teams to drive business improvement and outcomes.
Ability to work independently and take ownership of projects from start to finish.
Preferred Qualifications
Candidates from the Dallas-Fort Worth area are preferred, as occasional onsite meetings may be required.
A master s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Experience with sales data analytics and creating operational data triggers is a plus.
Strong business communication skills, able to navigate fast-paced environments.
